diff --git a/exp/asr_stats_raw_en_word/logdir/q/stats.log b/exp/asr_stats_raw_en_word/logdir/q/stats.log
new file mode 100644
index 0000000000000000000000000000000000000000..63571e49d35f7487ba5cc444dc99df8883b929f5
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/q/stats.log
@@ -0,0 +1 @@
+Submitted batch job 5730432
diff --git a/exp/asr_stats_raw_en_word/logdir/q/stats.sh b/exp/asr_stats_raw_en_word/logdir/q/stats.sh
new file mode 100644
index 0000000000000000000000000000000000000000..c0efc733d46f83fc968c2c11ae0c5a4041bb3b77
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/q/stats.sh
@@ -0,0 +1,29 @@
+#!/bin/bash
+cd /ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+. ./path.sh
+( echo '#' Running on `hostname`
+  echo '#' Started at `date`
+  set | grep SLURM | while read line; do echo "# $line"; done
+  echo -n '# '; cat <<EOF
+python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.${SLURM_ARRAY_TASK_ID}.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.${SLURM_ARRAY_TASK_ID}.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.${SLURM_ARRAY_TASK_ID} --config conf/train_asr.yaml --frontend_conf fs=16k 
+EOF
+) >exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+if [ "$CUDA_VISIBLE_DEVICES" == "NoDevFiles" ]; then
+  ( echo CUDA_VISIBLE_DEVICES set to NoDevFiles, unsetting it... 
+  )>>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+  unset CUDA_VISIBLE_DEVICES
+fi
+time1=`date +"%s"`
+ ( python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.${SLURM_ARRAY_TASK_ID}.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.${SLURM_ARRAY_TASK_ID}.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.${SLURM_ARRAY_TASK_ID} --config conf/train_asr.yaml --frontend_conf fs=16k  ) &>>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+ret=$?
+sync || true
+time2=`date +"%s"`
+echo '#' Accounting: begin_time=$time1 >>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: end_time=$time2 >>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+echo '#' Accounting: time=$(($time2-$time1)) threads=1 >>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+echo '#' Finished at `date` with status $ret >>exp/asr_stats_raw_en_word/logdir/stats.$SLURM_ARRAY_TASK_ID.log
+[ $ret -eq 137 ] && exit 100;
+touch exp/asr_stats_raw_en_word/logdir/q/done.1797611.$SLURM_ARRAY_TASK_ID
+exit $[$ret ? 1 : 0]
+## submitted with:
+# sbatch --export=PATH  --time 10:00:00 -p RM-shared  --open-mode=append -e exp/asr_stats_raw_en_word/logdir/q/stats.log -o exp/asr_stats_raw_en_word/logdir/q/stats.log --array 1-32 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1/exp/asr_stats_raw_en_word/logdir/q/stats.sh >>exp/asr_stats_raw_en_word/logdir/q/stats.log 2>&1
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1.log b/exp/asr_stats_raw_en_word/logdir/stats.1.log
new file mode 100644
index 0000000000000000000000000000000000000000..a39f27c2239230f1de91aba0db59d4542dfa7bc7
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1.log
@@ -0,0 +1,495 @@
+# Running on r041.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:23:13 EST 2021
+# SLURMD_NODENAME=r041
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=1
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730448
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730448
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r041
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r041
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=98449
+# SLURM_TOPOLOGY_ADDR=r041
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.1.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.1.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.1 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.1.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.1.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.1 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r041] 2021-12-21 22:24:17,989 (asr:382) INFO: Vocabulary size: 40
+[r041] 2021-12-21 22:24:18,946 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r041] 2021-12-21 22:24:18,952 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r041] 2021-12-21 22:24:18,952 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r041] 2021-12-21 22:24:18,952 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r041] 2021-12-21 22:24:18,954 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.1/config.yaml
+[r041] 2021-12-21 22:24:18,966 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.1', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.1.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.1.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143393
+# Accounting: end_time=1640143471
+# Accounting: time=78 threads=1
+# Finished at Tue Dec 21 22:24:31 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1bfab38898866d05cc8ad8a1f6bfb34d4de198fb
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.1
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.1.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.1.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.1/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..a62f6ef3cf06e35eb45d7ff95d72ccc4140c5293
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..6eecc958aaf88c64aba5a8cec2ec2f9f278e7ea2
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.1/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.1/train/speech_shape
new file mode 100644
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+wavs_audio1521998390206_1_1.wav 18
+wavs_audio1521998665288_2_7.wav 20
+wavs_audio1521998752944_3_6.wav 20
+wavs_audio1521998843131_4_4.wav 12
+wavs_audio1521998905583_5_6.wav 27
+wavs_audio1521998964991_6_3.wav 33
+wavs_audio1522007605101_1_1.wav 18
+wavs_audio1522007643961_1_3.wav 9
+wavs_audio1522007658801_1_4.wav 20
+wavs_audio1522007670811_1_5.wav 17
+wavs_audio1522007681976_1_6.wav 11
+wavs_audio1522007696866_1_7.wav 31
+wavs_audio1522007710971_1_8.wav 33
+wavs_audio1522007735606_1_7.wav 31
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4005a42f93a1d88c33f2f396424b923e379f2580
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..1fdc91b0587093a62fbdfd6910108215254a0de5
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..703a38f962e00b4a71c16b84a9cf28111626f4ca
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1521967108757_4_1.wav 48922
+wavs_audio1521967226793_2_3.wav 49340
+wavs_audio1521971937930_4_4.wav 38400
+wavs_audio1521971946892_4_5.wav 44160
+wavs_audio1521977862147_2_2.wav 53760
+wavs_audio1521978750025_1_5.wav 46080
+wavs_audio1521978830797_2_4.wav 44160
+wavs_audio1521978837483_2_5.wav 42240
+wavs_audio1521978880668_3_2.wav 37440
+wavs_audio1521978977408_4_5.wav 48000
+wavs_audio1521978992321_4_1.wav 47040
+wavs_audio1521979002585_1_8.wav 52800
+wavs_audio1521979070192_5_6.wav 57600
+wavs_audio1521979075133_1_6.wav 59520
+wavs_audio1521979077899_1_2.wav 49920
+wavs_audio1521979132984_1_6.wav 38400
+wavs_audio1521979147057_6_4.wav 65280
+wavs_audio1521979384490_1_2.wav 52800
+wavs_audio1521979852020_1_4.wav 101760
+wavs_audio1521980432472_5_7.wav 71040
+wavs_audio1521980519079_6_4.wav 70080
+wavs_audio1521986099502_1_6.wav 94080
+wavs_audio1521990528827_1_7.wav 57344
+wavs_audio1521990793862_3_2.wav 38973
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.1/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..2e113d09467f195f04fb1ffd9e612b7065dbf27b
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.1/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1521967108757_4_1.wav 18
+wavs_audio1521967226793_2_3.wav 21
+wavs_audio1521971937930_4_4.wav 12
+wavs_audio1521971946892_4_5.wav 20
+wavs_audio1521977862147_2_2.wav 23
+wavs_audio1521978750025_1_5.wav 17
+wavs_audio1521978830797_2_4.wav 21
+wavs_audio1521978837483_2_5.wav 14
+wavs_audio1521978880668_3_2.wav 13
+wavs_audio1521978977408_4_5.wav 20
+wavs_audio1521978992321_4_1.wav 18
+wavs_audio1521979002585_1_8.wav 33
+wavs_audio1521979070192_5_6.wav 27
+wavs_audio1521979075133_1_6.wav 11
+wavs_audio1521979077899_1_2.wav 15
+wavs_audio1521979132984_1_6.wav 11
+wavs_audio1521979147057_6_4.wav 35
+wavs_audio1521979384490_1_2.wav 15
+wavs_audio1521979852020_1_4.wav 20
+wavs_audio1521980432472_5_7.wav 29
+wavs_audio1521980519079_6_4.wav 35
+wavs_audio1521986099502_1_6.wav 11
+wavs_audio1521990528827_1_7.wav 31
+wavs_audio1521990793862_3_2.wav 13
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10.log b/exp/asr_stats_raw_en_word/logdir/stats.10.log
new file mode 100644
index 0000000000000000000000000000000000000000..1e61ffe7fa98b2f80a4003259863dd4df8ae9777
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:49 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=10
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730463
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730463
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=6007
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.10.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.10.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.10 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.10.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.10.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.10 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,019 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,024 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,024 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,024 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.10/config.yaml
+[r099] 2021-12-21 22:25:09,037 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.10', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.10.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.10.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143489
+# Accounting: end_time=1640143519
+# Accounting: time=30 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.10/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5ae6b1fe4bc307240a42a234b360d121ceec6296
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.10
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.10.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.10.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
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+wavs_audio1526984354872_2_4.wav 21
+wavs_audio1526984357564_6_4.wav 35
+wavs_audio1526984363716_4_5.wav 20
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+wavs_audio1526984591785_5_2.wav 32
+wavs_audio1526984595756_5_4.wav 29
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..604b5a7bda61bb0a625b9c2791639b1fb853b0de
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..dec13494dbfc3a04aebb8a5be5439c59418d4b3b
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..2f343d2c8d475fc9da58c277d078e7a434b88e26
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1526983286623_5_7.wav 43200
+wavs_audio1526983324951_5_3.wav 90240
+wavs_audio1526983385142_4_5.wav 48000
+wavs_audio1526983478995_4_3.wav 50880
+wavs_audio1526983516946_5_1.wav 60480
+wavs_audio1526983544466_5_3.wav 67200
+wavs_audio1526983563031_3_8.wav 36480
+wavs_audio1526983564943_3_6.wav 41280
+wavs_audio1526983592590_4_2.wav 40320
+wavs_audio1526983663160_6_3.wav 60480
+wavs_audio1526983920025_1_1.wav 80640
+wavs_audio1526984094471_3_1.wav 41280
+wavs_audio1526984098387_1_7.wav 77760
+wavs_audio1526984102607_1_8.wav 72000
+wavs_audio1526984124218_1_8.wav 76800
+wavs_audio1526984189062_1_5.wav 79680
+wavs_audio1526984191576_5_4.wav 71040
+wavs_audio1526984208550_1_5.wav 53760
+wavs_audio1526984218128_2_7.wav 59520
+wavs_audio1526984225517_5_6.wav 73920
+wavs_audio1526984236438_2_5.wav 63360
+wavs_audio1526984273150_2_6.wav 57600
+wavs_audio1526984301196_6_2.wav 69120
+wavs_audio1526984345604_3_2.wav 45120
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.10/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..51c0f65d0d359cc2f86ea3761d719106674fe07e
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.10/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1526983286623_5_7.wav 29
+wavs_audio1526983324951_5_3.wav 29
+wavs_audio1526983385142_4_5.wav 20
+wavs_audio1526983478995_4_3.wav 18
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+wavs_audio1526984124218_1_8.wav 33
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+wavs_audio1526984236438_2_5.wav 14
+wavs_audio1526984273150_2_6.wav 20
+wavs_audio1526984301196_6_2.wav 23
+wavs_audio1526984345604_3_2.wav 13
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11.log b/exp/asr_stats_raw_en_word/logdir/stats.11.log
new file mode 100644
index 0000000000000000000000000000000000000000..c276f25e296c894026760551cb5eae1693a93299
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:57 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=11
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730464
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730464
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=6420
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.11.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.11.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.11 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.11.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.11.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.11 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,019 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,024 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,024 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,024 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.11/config.yaml
+[r099] 2021-12-21 22:25:09,037 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.11', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.11.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.11.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143497
+# Accounting: end_time=1640143519
+# Accounting: time=22 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.11/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..84c82e528382a0c72b481cd5117b39a710094b20
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.11
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.11.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.11.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
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+- <unk>
+- ්
+- න
+- ම
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+- ල
+- ි
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+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
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+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
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+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
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+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
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+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.11/train/batch_keys
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@@ -0,0 +1,2 @@
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+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.11/train/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.11/train/feats_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.11/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..8a1fbc8f55a684f015529721c23edba8660c9399
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4860340a16813c0d287011998c9867b77d443b89
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..94793af8314198d7ad474b0b3a635c351f1a9b3e
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/speech_shape
@@ -0,0 +1,24 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.11/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..def81b7be5062f66c79a4026697cb46894338175
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.11/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12.log b/exp/asr_stats_raw_en_word/logdir/stats.12.log
new file mode 100644
index 0000000000000000000000000000000000000000..b5f63e3041ffab01361ed02b2fd1c90da94054d4
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.12.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:07 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=12
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730465
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730465
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=7310
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.12.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.12.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.12 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.12.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.12.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.12 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:10,190 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:10,529 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:10,534 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:10,534 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:10,534 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:10,536 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.12/config.yaml
+[r099] 2021-12-21 22:25:10,546 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.12', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.12.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.12.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143507
+# Accounting: end_time=1640143519
+# Accounting: time=12 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.12/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..51969a30fc9a3516b28ede3315c0cd30e4b17c9b
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.12/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.12
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.12.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.12.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.12/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.12/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..0b99e56f8c709558b098672860dd26a5bb927205
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..3dcbd26f996de7f9cf69fa5a0d81429f21d007ed
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.12/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.12/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..afc67491b052e29666d512cfe9f9a9ee8f9c0e08
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.12/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/train/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.12/train/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.12/valid/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.12/valid/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.12/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.12/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13.log b/exp/asr_stats_raw_en_word/logdir/stats.13.log
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+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:15 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=13
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730466
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730466
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=9070
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.13.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.13.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.13 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.13.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.13.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.13 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:17,941 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:18,281 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:18,286 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:18,286 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:18,286 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:18,288 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.13/config.yaml
+[r099] 2021-12-21 22:25:18,297 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.13', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.13.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.13.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143515
+# Accounting: end_time=1640143540
+# Accounting: time=25 threads=1
+# Finished at Tue Dec 21 22:25:40 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.13/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ea74a9789f4b4bb3308b210a951e92cdf43bf065
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.13/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.13
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.13.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.13.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.13/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.13/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..8f55a852ab8431c12f8f10c50bb220b7c3472fe2
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..3f945a6338707154f25d74c6978f61502065a8b8
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.13/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.13/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.13/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..d20dc88829db1122df7111c078628ba256e74606
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.13/train/speech_shape
@@ -0,0 +1,191 @@
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+wavs_audio1526986570628_4_3.wav 18
+wavs_audio1526986746353_6_1.wav 21
+wavs_audio1527154599273_3_7.wav 13
+wavs_audio1527154691310_1_1.wav 18
+wavs_audio1527154695439_1_3.wav 9
+wavs_audio1527154731445_1_6.wav 11
+wavs_audio1527154782988_1_8.wav 33
+wavs_audio1527154814996_2_2.wav 23
+wavs_audio1527154853546_2_6.wav 20
+wavs_audio1527154906051_1_3.wav 9
+wavs_audio1527154925976_1_3.wav 9
+wavs_audio1527154942467_2_3.wav 21
+wavs_audio1527154963469_3_5.wav 20
+wavs_audio1527155003553_4_2.wav 20
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14.log b/exp/asr_stats_raw_en_word/logdir/stats.14.log
new file mode 100644
index 0000000000000000000000000000000000000000..4a28c95985898bf5ff1d0f44ba3246220ad11047
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:28 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=14
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730467
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730467
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=11090
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.14.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.14.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.14 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.14.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.14.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.14 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:26:33,371 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:26:33,375 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:26:33,376 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:26:33,376 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:26:33,378 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.14/config.yaml
+[r099] 2021-12-21 22:26:33,388 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.14', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.14.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.14.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143528
+# Accounting: end_time=1640143602
+# Accounting: time=74 threads=1
+# Finished at Tue Dec 21 22:26:42 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.14/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f6668121920746cd31f7065e536139da81f3c07a
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.14
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.14.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.14.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.14/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..465aaaeb876d4ecf33bd4a9a1d228e89f57dc5d3
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..acd3f137ecab95b95073765e6270791128540794
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.14/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.14/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..e06937fd5682dca412f93a54c36057333c5a29df
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14/train/speech_shape
@@ -0,0 +1,191 @@
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+wavs_audio1527155028028_1_3.wav 48960
+wavs_audio1527155064130_5_4.wav 35520
+wavs_audio1527155070915_5_1.wav 43200
+wavs_audio1527155079065_4_2.wav 57600
+wavs_audio1527155135694_3_8.wav 55680
+wavs_audio1527155136951_5_6.wav 49920
+wavs_audio1527155158001_3_3.wav 28800
+wavs_audio1527155180700_5_4.wav 39360
+wavs_audio1527155183031_3_8.wav 32640
+wavs_audio1527155186038_4_4.wav 48960
+wavs_audio1527155189424_4_3.wav 53760
+wavs_audio1527155204485_2_7.wav 67200
+wavs_audio1527155223865_2_7.wav 35520
+wavs_audio1527155231336_4_5.wav 48960
+wavs_audio1527155234207_2_6.wav 49920
+wavs_audio1527155252146_3_2.wav 25920
+wavs_audio1527155260168_3_1.wav 41280
+wavs_audio1527155292194_3_4.wav 46080
+wavs_audio1527155302320_4_3.wav 40320
+wavs_audio1527155324165_4_5.wav 39360
+wavs_audio1527155328170_1_4.wav 61440
+wavs_audio1527155344764_5_1.wav 50880
+wavs_audio1527155347557_3_3.wav 55680
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.14/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.14/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.14/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..c7c2406bf8077379ff8054a2d2fdf16b8a27ecf6
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.14/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527155015278_1_1.wav 18
+wavs_audio1527155028028_1_3.wav 9
+wavs_audio1527155064130_5_4.wav 29
+wavs_audio1527155070915_5_1.wav 27
+wavs_audio1527155079065_4_2.wav 20
+wavs_audio1527155135694_3_8.wav 13
+wavs_audio1527155136951_5_6.wav 27
+wavs_audio1527155158001_3_3.wav 15
+wavs_audio1527155180700_5_4.wav 29
+wavs_audio1527155183031_3_8.wav 13
+wavs_audio1527155186038_4_4.wav 12
+wavs_audio1527155189424_4_3.wav 18
+wavs_audio1527155204485_2_7.wav 20
+wavs_audio1527155223865_2_7.wav 20
+wavs_audio1527155231336_4_5.wav 20
+wavs_audio1527155234207_2_6.wav 20
+wavs_audio1527155252146_3_2.wav 13
+wavs_audio1527155260168_3_1.wav 15
+wavs_audio1527155292194_3_4.wav 13
+wavs_audio1527155302320_4_3.wav 18
+wavs_audio1527155324165_4_5.wav 20
+wavs_audio1527155328170_1_4.wav 20
+wavs_audio1527155344764_5_1.wav 27
+wavs_audio1527155347557_3_3.wav 15
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15.log b/exp/asr_stats_raw_en_word/logdir/stats.15.log
new file mode 100644
index 0000000000000000000000000000000000000000..c824c63fb842c690e95eb7ffeeb8751f07619438
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:33 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=15
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730468
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730468
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=11621
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.15.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.15.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.15 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.15.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.15.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.15 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:26:33,371 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:26:33,375 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:26:33,376 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:26:33,376 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:26:33,378 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.15/config.yaml
+[r099] 2021-12-21 22:26:33,388 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.15', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.15.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.15.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143533
+# Accounting: end_time=1640143602
+# Accounting: time=69 threads=1
+# Finished at Tue Dec 21 22:26:42 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.15/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..abfc6718d8acc13466e8ed219d3dfea2bc973c72
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.15
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.15.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.15.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.15/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..09352a7c289170474d6e2bd30897b035353426e0
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4a753f7b7b8d623b88ca7bd13fefb83f319abb1d
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.15/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.15/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..fe4fdaf79a31c97fa44d028d1a092dc8d63602dc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/train/speech_shape
@@ -0,0 +1,191 @@
+wavs_audio1527155460090_6_3.wav 74880
+wavs_audio1527155463715_6_3.wav 53760
+wavs_audio1527155465140_1_4.wav 49920
+wavs_audio1527155465397_5_7.wav 43200
+wavs_audio1527155467402_5_7.wav 39360
+wavs_audio1527155467823_1_6.wav 59520
+wavs_audio1527155478350_1_5.wav 56640
+wavs_audio1527155480635_6_1.wav 33600
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+wavs_audio1527155923906_3_4.wav 13
+wavs_audio1527155925095_1_1.wav 18
+wavs_audio1527155930523_2_2.wav 23
+wavs_audio1527155933624_1_4.wav 20
+wavs_audio1527155933625_1_4.wav 20
+wavs_audio1527155934304_6_1.wav 21
+wavs_audio1527155939358_3_5.wav 20
+wavs_audio1527155939905_3_5.wav 20
+wavs_audio1527155941537_1_2.wav 15
+wavs_audio1527155942684_6_3.wav 33
+wavs_audio1527155943615_2_3.wav 21
+wavs_audio1527155948120_2_1.wav 23
+wavs_audio1527155950022_3_6.wav 20
+wavs_audio1527155953605_2_4.wav 21
+wavs_audio1527155963167_2_2.wav 23
+wavs_audio1527155965921_1_8.wav 33
+wavs_audio1527155966707_3_7.wav 13
+wavs_audio1527155967783_2_5.wav 14
+wavs_audio1527155973378_1_4.wav 20
+wavs_audio1527155973404_3_6.wav 20
+wavs_audio1527155977890_1_2.wav 15
+wavs_audio1527155980879_1_6.wav 11
+wavs_audio1527155983462_2_4.wav 21
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..792b5703c9e50119c5131092acd98e8a80e02e98
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..7b402d1fb658a942a2d0ca5587de6066a0305def
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..ddf7770b95aa93674f857af8280708b7139166ba
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1527155363618_1_6.wav 69120
+wavs_audio1527155380394_4_5.wav 35520
+wavs_audio1527155394462_1_1.wav 101760
+wavs_audio1527155400126_5_6.wav 63360
+wavs_audio1527155406527_5_1.wav 53760
+wavs_audio1527155422602_1_1.wav 54720
+wavs_audio1527155424961_5_4.wav 43200
+wavs_audio1527155431649_1_2.wav 48960
+wavs_audio1527155446671_5_5.wav 38400
+wavs_audio1527155457199_5_6.wav 50880
+wavs_audio1527155459497_1_5.wav 47040
+wavs_audio1527155487512_5_1.wav 57600
+wavs_audio1527155498299_1_8.wav 64320
+wavs_audio1527155504475_6_3.wav 35520
+wavs_audio1527155505576_1_5.wav 52800
+wavs_audio1527155557506_5_3.wav 57600
+wavs_audio1527155601006_3_7.wav 27840
+wavs_audio1527155704210_3_4.wav 44160
+wavs_audio1527155713919_5_3.wav 43200
+wavs_audio1527155744263_6_4.wav 55680
+wavs_audio1527155750843_5_5.wav 96960
+wavs_audio1527155779183_6_2.wav 48000
+wavs_audio1527155787236_2_5.wav 48000
+wavs_audio1527155808439_2_7.wav 48960
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.15/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..410493729ec61b62413e841e268939c9f7c8ca6c
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.15/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527155363618_1_6.wav 11
+wavs_audio1527155380394_4_5.wav 20
+wavs_audio1527155394462_1_1.wav 18
+wavs_audio1527155400126_5_6.wav 27
+wavs_audio1527155406527_5_1.wav 27
+wavs_audio1527155422602_1_1.wav 18
+wavs_audio1527155424961_5_4.wav 29
+wavs_audio1527155431649_1_2.wav 15
+wavs_audio1527155446671_5_5.wav 27
+wavs_audio1527155457199_5_6.wav 27
+wavs_audio1527155459497_1_5.wav 17
+wavs_audio1527155487512_5_1.wav 27
+wavs_audio1527155498299_1_8.wav 33
+wavs_audio1527155504475_6_3.wav 33
+wavs_audio1527155505576_1_5.wav 17
+wavs_audio1527155557506_5_3.wav 29
+wavs_audio1527155601006_3_7.wav 13
+wavs_audio1527155704210_3_4.wav 13
+wavs_audio1527155713919_5_3.wav 29
+wavs_audio1527155744263_6_4.wav 35
+wavs_audio1527155750843_5_5.wav 27
+wavs_audio1527155779183_6_2.wav 23
+wavs_audio1527155787236_2_5.wav 14
+wavs_audio1527155808439_2_7.wav 20
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16.log b/exp/asr_stats_raw_en_word/logdir/stats.16.log
new file mode 100644
index 0000000000000000000000000000000000000000..6bce8abe00d173ba7db4f661ea8189800ff1cfa6
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:40 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=16
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730469
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730469
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=12034
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.16.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.16.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.16 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.16.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.16.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.16 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:26:33,371 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:26:33,375 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:26:33,376 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:26:33,376 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:26:33,378 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.16/config.yaml
+[r099] 2021-12-21 22:26:33,388 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.16', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.16.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.16.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143540
+# Accounting: end_time=1640143602
+# Accounting: time=62 threads=1
+# Finished at Tue Dec 21 22:26:42 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.16/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..82a5cf18e09978a883e568312fd785fbb6597537
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.16
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.16.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.16.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
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+wavs_audio1527156258445_1_5.wav 17
+wavs_audio1527156258990_3_4.wav 13
+wavs_audio1527156261113_4_1.wav 18
+wavs_audio1527156265185_5_1.wav 27
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+wavs_audio1527156273653_1_5.wav 17
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+wavs_audio1527156277870_4_4.wav 12
+wavs_audio1527156279871_3_6.wav 20
+wavs_audio1527156280127_2_2.wav 23
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+wavs_audio1527156329496_4_2.wav 20
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+wavs_audio1527156402164_3_2.wav 13
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..7c6eb19e98b82c06c9105797eafe2c06fe80af6c
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..8c5a7756800bf7084a5e21e6eb8d6d1b8f5df384
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..8c527fb98ee4fc13fd4d5b83a6c26b0f07949114
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1527155827982_1_6.wav 54720
+wavs_audio1527155863503_2_5.wav 27840
+wavs_audio1527155879534_3_4.wav 51840
+wavs_audio1527155884108_1_3.wav 48000
+wavs_audio1527155908170_5_3.wav 57600
+wavs_audio1527155910466_2_2.wav 53760
+wavs_audio1527155956930_1_3.wav 45120
+wavs_audio1527155975345_3_8.wav 69120
+wavs_audio1527156002583_1_2.wav 37440
+wavs_audio1527156022441_2_3.wav 69120
+wavs_audio1527156046755_1_6.wav 36480
+wavs_audio1527156103296_3_4.wav 40320
+wavs_audio1527156106798_5_1.wav 69120
+wavs_audio1527156121344_5_3.wav 38400
+wavs_audio1527156142557_4_4.wav 28800
+wavs_audio1527156145405_1_1.wav 61440
+wavs_audio1527156156866_5_6.wav 74880
+wavs_audio1527156196291_1_7.wav 49920
+wavs_audio1527156219102_2_5.wav 48000
+wavs_audio1527156275158_4_2.wav 71040
+wavs_audio1527156284836_5_2.wav 73920
+wavs_audio1527156287662_4_3.wav 48000
+wavs_audio1527156295960_1_8.wav 62400
+wavs_audio1527156311241_4_5.wav 45120
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.16/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..3f80310bc9966fcbd5d48b29ca2a31d70ddc3845
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.16/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527155827982_1_6.wav 11
+wavs_audio1527155863503_2_5.wav 14
+wavs_audio1527155879534_3_4.wav 13
+wavs_audio1527155884108_1_3.wav 9
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+wavs_audio1527155910466_2_2.wav 23
+wavs_audio1527155956930_1_3.wav 9
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+wavs_audio1527156142557_4_4.wav 12
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+wavs_audio1527156284836_5_2.wav 32
+wavs_audio1527156287662_4_3.wav 18
+wavs_audio1527156295960_1_8.wav 33
+wavs_audio1527156311241_4_5.wav 20
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17.log b/exp/asr_stats_raw_en_word/logdir/stats.17.log
new file mode 100644
index 0000000000000000000000000000000000000000..b7786d19c5b114577e90f26be42180e52c786cee
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:46 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=17
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730470
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730470
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=12459
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.17.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.17.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.17 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.17.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.17.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.17 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:26:33,371 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:26:33,375 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:26:33,376 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:26:33,376 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:26:33,378 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.17/config.yaml
+[r099] 2021-12-21 22:26:33,388 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.17', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.17.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.17.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143546
+# Accounting: end_time=1640143602
+# Accounting: time=56 threads=1
+# Finished at Tue Dec 21 22:26:42 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.17/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..86e1c248a70f4077f43f581c9811adaad8fdd27f
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.17
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.17.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.17.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
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+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
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+- <unk>
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+- ඉ
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+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
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+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
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+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
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+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
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+decoder: transformer
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+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.17/train/batch_keys
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@@ -0,0 +1,2 @@
+speech
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.17/train/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.17/train/feats_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.17/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4ca4995230e7477aded15d580b6bfeb3c5578af9
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..e4f34d00744e77fc25c12321a3a41688758aecad
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..5844deab1b0d2b28ffbdc75b3cd31a98bff70288
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/speech_shape
@@ -0,0 +1,24 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.17/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..a05a7e7c5e6840e2e86b9bd2831d350067d164d4
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.17/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18.log b/exp/asr_stats_raw_en_word/logdir/stats.18.log
new file mode 100644
index 0000000000000000000000000000000000000000..f207710d6f59fb90357a559fc70eb83a71683dad
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.18.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:54 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=18
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730471
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730471
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=13275
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.18.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.18.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.18 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.18.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.18.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.18 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:26:32,052 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:26:33,371 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:26:33,375 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:26:33,376 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:26:33,376 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:26:33,378 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.18/config.yaml
+[r099] 2021-12-21 22:26:33,388 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.18', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.18.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.18.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143554
+# Accounting: end_time=1640143602
+# Accounting: time=48 threads=1
+# Finished at Tue Dec 21 22:26:42 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.18/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..80971f474caa359eedb4464297058cd14c7c0309
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.18/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.18
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.18.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.18.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.18/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.18/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..d972aac0ebb3f2fb5ff3fd3ced12de18e7d6d67d
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..dc3a0308f649f4c0c21e7f3a92f654d8da09242d
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.18/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.18/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..6dd1216937f205ed32c3b13fc870ad7b488eb256
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.18/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/train/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.18/train/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.18/valid/batch_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.18/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.18/valid/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19.log b/exp/asr_stats_raw_en_word/logdir/stats.19.log
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+# Running on r073.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:23:53 EST 2021
+# SLURMD_NODENAME=r073
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=19
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730472
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730472
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r073
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r073
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=5607
+# SLURM_TOPOLOGY_ADDR=r073
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.19.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.19.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.19 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.19.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.19.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.19 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r073] 2021-12-21 22:25:08,098 (asr:382) INFO: Vocabulary size: 40
+[r073] 2021-12-21 22:25:09,059 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r073] 2021-12-21 22:25:09,065 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r073] 2021-12-21 22:25:09,065 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r073] 2021-12-21 22:25:09,065 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r073] 2021-12-21 22:25:09,067 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.19/config.yaml
+[r073] 2021-12-21 22:25:09,077 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.19', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.19.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.19.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143433
+# Accounting: end_time=1640143518
+# Accounting: time=85 threads=1
+# Finished at Tue Dec 21 22:25:18 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.19/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f17d7af1fd2878daa062ae4ede3eaee74968d50c
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.19/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.19
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.19.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.19.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.19/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.19/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..2a6eb4a02ee4f41a5978f51b5c32f1d514596927
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..108b5265798fc2b9dedcc920cf7789dbcafeac8f
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.19/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.19/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.19/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..4b0663730c89e3b1eba67692fe5d489be4ffe119
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.19/train/speech_shape
@@ -0,0 +1,191 @@
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+wavs_audio1527157670724_2_5.wav 14
+wavs_audio1527157773602_3_7.wav 13
+wavs_audio1527157805707_4_1.wav 18
+wavs_audio1527157886446_5_1.wav 27
+wavs_audio1527157898625_5_2.wav 32
+wavs_audio1527157980032_6_1.wav 21
+wavs_audio1527158082323_1_1.wav 18
+wavs_audio1527158167480_1_6.wav 11
+wavs_audio1527158170349_1_5.wav 17
+wavs_audio1527158207821_1_7.wav 31
+wavs_audio1527158374364_3_6.wav 20
+wavs_audio1527158412863_3_2.wav 13
+wavs_audio1527158577442_5_4.wav 29
+wavs_audio1527158612520_5_6.wav 27
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2.log b/exp/asr_stats_raw_en_word/logdir/stats.2.log
new file mode 100644
index 0000000000000000000000000000000000000000..281ef434fe392704c1bcbc99910c582fd6ac6373
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2.log
@@ -0,0 +1,495 @@
+# Running on r041.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:23:22 EST 2021
+# SLURMD_NODENAME=r041
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=2
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730449
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730449
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r041
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r041
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=98840
+# SLURM_TOPOLOGY_ADDR=r041
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.2.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.2.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.2 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.2.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.2.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.2 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r041] 2021-12-21 22:24:17,989 (asr:382) INFO: Vocabulary size: 40
+[r041] 2021-12-21 22:24:18,946 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r041] 2021-12-21 22:24:18,952 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r041] 2021-12-21 22:24:18,952 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r041] 2021-12-21 22:24:18,952 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r041] 2021-12-21 22:24:18,954 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.2/config.yaml
+[r041] 2021-12-21 22:24:18,966 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.2', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.2.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.2.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143402
+# Accounting: end_time=1640143471
+# Accounting: time=69 threads=1
+# Finished at Tue Dec 21 22:24:31 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.2/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..48016e9bf487ef51c13dac6b444c8c60569e2d74
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.2
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.2.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.2.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.2/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..7496a8db210c5ca0440ad122a3366f3756346dbd
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..cc8f7ce24c81067b9cddf8a2ba1fe10db46d6eaa
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.2/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.2/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..3330360b3549b683c33704ebe6410f2872c17578
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2/train/speech_shape
@@ -0,0 +1,191 @@
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@@ -0,0 +1,24 @@
+wavs_audio1521991101471_4_3.wav 57344
+wavs_audio1521991325521_5_2.wav 57344
+wavs_audio1521996850041_1_3.wav 85440
+wavs_audio1521998462264_2_7.wav 53760
+wavs_audio1522007627391_1_2.wav 52800
+wavs_audio1522059665521_1_4.wav 72960
+wavs_audio1522060775541_2_5.wav 39360
+wavs_audio1522060790521_2_6.wav 41280
+wavs_audio1522061096681_3_2.wav 35520
+wavs_audio1522061135500_3_3.wav 42240
+wavs_audio1522063746052_6_1.wav 42240
+wavs_audio1522063768260_6_2.wav 65280
+wavs_audio1522063795630_6_4.wav 49920
+wavs_audio1522259758610_6_3.wav 44160
+wavs_audio1522334231026_1_2.wav 70080
+wavs_audio1522385360615_2_3.wav 61440
+wavs_audio1522471701557_1_1.wav 96000
+wavs_audio1522471962351_1_6.wav 44160
+wavs_audio1523261800406_1_5.wav 37440
+wavs_audio1525853153718_1_2.wav 58560
+wavs_audio1525853342350_5_4.wav 48000
+wavs_audio1525853361871_5_6.wav 48960
+wavs_audio1525853514528_4_1.wav 43200
+wavs_audio1525853522385_4_3.wav 45120
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.2/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.2/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.2/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..b27d20c060142fca9e392217903bf020453dd718
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.2/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1521991101471_4_3.wav 18
+wavs_audio1521991325521_5_2.wav 32
+wavs_audio1521996850041_1_3.wav 9
+wavs_audio1521998462264_2_7.wav 20
+wavs_audio1522007627391_1_2.wav 15
+wavs_audio1522059665521_1_4.wav 20
+wavs_audio1522060775541_2_5.wav 14
+wavs_audio1522060790521_2_6.wav 20
+wavs_audio1522061096681_3_2.wav 13
+wavs_audio1522061135500_3_3.wav 15
+wavs_audio1522063746052_6_1.wav 21
+wavs_audio1522063768260_6_2.wav 23
+wavs_audio1522063795630_6_4.wav 35
+wavs_audio1522259758610_6_3.wav 33
+wavs_audio1522334231026_1_2.wav 15
+wavs_audio1522385360615_2_3.wav 21
+wavs_audio1522471701557_1_1.wav 18
+wavs_audio1522471962351_1_6.wav 11
+wavs_audio1523261800406_1_5.wav 17
+wavs_audio1525853153718_1_2.wav 15
+wavs_audio1525853342350_5_4.wav 29
+wavs_audio1525853361871_5_6.wav 27
+wavs_audio1525853514528_4_1.wav 18
+wavs_audio1525853522385_4_3.wav 18
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20.log b/exp/asr_stats_raw_en_word/logdir/stats.20.log
new file mode 100644
index 0000000000000000000000000000000000000000..81bda16baa3a6d436aa7085e0617f9832b63de7b
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20.log
@@ -0,0 +1,495 @@
+# Running on r073.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:01 EST 2021
+# SLURMD_NODENAME=r073
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=20
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730473
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730473
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r073
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r073
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=7948
+# SLURM_TOPOLOGY_ADDR=r073
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.20.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.20.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.20 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.20.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.20.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.20 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r073] 2021-12-21 22:25:08,098 (asr:382) INFO: Vocabulary size: 40
+[r073] 2021-12-21 22:25:09,059 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r073] 2021-12-21 22:25:09,065 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r073] 2021-12-21 22:25:09,065 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r073] 2021-12-21 22:25:09,065 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r073] 2021-12-21 22:25:09,067 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.20/config.yaml
+[r073] 2021-12-21 22:25:09,077 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.20', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.20.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.20.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143441
+# Accounting: end_time=1640143518
+# Accounting: time=77 threads=1
+# Finished at Tue Dec 21 22:25:18 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.20/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e421c52c04f95dbf4b85fee3181d673e5ae80d1b
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.20
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.20.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.20.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.20/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..933844ae29e23dee69dc6042021d80050961c58b
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..e554509315b7de8d22c4eb48d91a811efa5551ff
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.20/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.20/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..0cf664012d2ce1bc65340d6a708abebb25e26e16
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/train/speech_shape
@@ -0,0 +1,190 @@
+wavs_audio1527223582076_3_6.wav 38400
+wavs_audio1527223582392_1_6.wav 40320
+wavs_audio1527223590320_5_7.wav 72960
+wavs_audio1527223603973_1_7.wav 69120
+wavs_audio1527223606573_1_3.wav 47040
+wavs_audio1527223609708_3_2.wav 29760
+wavs_audio1527223611829_4_2.wav 48960
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+wavs_audio1527224093122_1_6.wav 11
+wavs_audio1527224093642_1_8.wav 33
+wavs_audio1527224094971_1_1.wav 18
+wavs_audio1527224097192_5_4.wav 29
+wavs_audio1527224101318_4_2.wav 20
+wavs_audio1527224104549_1_7.wav 31
+wavs_audio1527224106127_5_6.wav 27
+wavs_audio1527224106631_5_5.wav 27
+wavs_audio1527224107051_4_1.wav 18
+wavs_audio1527224110912_5_7.wav 29
+wavs_audio1527224114642_4_4.wav 12
+wavs_audio1527224114838_1_2.wav 15
+wavs_audio1527224117791_5_6.wav 27
+wavs_audio1527224120918_1_3.wav 9
+wavs_audio1527224120969_5_7.wav 29
+wavs_audio1527224121614_4_5.wav 20
+wavs_audio1527224125837_1_3.wav 9
+wavs_audio1527224125921_4_1.wav 18
+wavs_audio1527224130053_1_4.wav 20
+wavs_audio1527224132000_1_8.wav 33
+wavs_audio1527224136673_2_1.wav 23
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..917a857a19100d32a1172afef9935d4cf7d873e2
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..b5c6d06356b57764f94bb1f4594d319b19b49e8f
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..5c5c3839e70efa61512b50bd6edb5aadbc879a41
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1527158667816_6_2.wav 60480
+wavs_audio1527158817245_6_4.wav 69120
+wavs_audio1527159619246_2_2.wav 53760
+wavs_audio1527159792598_3_2.wav 34560
+wavs_audio1527159822475_3_4.wav 31680
+wavs_audio1527223252999_1_5.wav 82560
+wavs_audio1527223307136_1_1.wav 57600
+wavs_audio1527223438164_1_7.wav 71040
+wavs_audio1527223476483_1_8.wav 51840
+wavs_audio1527223487448_4_2.wav 98880
+wavs_audio1527223491637_2_4.wav 40320
+wavs_audio1527223564554_1_2.wav 29760
+wavs_audio1527223637328_2_4.wav 46080
+wavs_audio1527223759442_6_2.wav 68160
+wavs_audio1527223760200_2_3.wav 47040
+wavs_audio1527223778250_6_4.wav 58560
+wavs_audio1527223808841_2_5.wav 40320
+wavs_audio1527223821500_3_1.wav 41280
+wavs_audio1527223871643_3_4.wav 35520
+wavs_audio1527223959266_3_4.wav 23040
+wavs_audio1527223968864_4_1.wav 40320
+wavs_audio1527224013601_3_8.wav 33600
+wavs_audio1527224033664_1_1.wav 66240
+wavs_audio1527224060005_5_2.wav 62400
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.20/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..13ebbe34a9ac6ff1f06cda749921963deee427c1
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.20/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527158667816_6_2.wav 23
+wavs_audio1527158817245_6_4.wav 35
+wavs_audio1527159619246_2_2.wav 23
+wavs_audio1527159792598_3_2.wav 13
+wavs_audio1527159822475_3_4.wav 13
+wavs_audio1527223252999_1_5.wav 17
+wavs_audio1527223307136_1_1.wav 18
+wavs_audio1527223438164_1_7.wav 31
+wavs_audio1527223476483_1_8.wav 33
+wavs_audio1527223487448_4_2.wav 20
+wavs_audio1527223491637_2_4.wav 21
+wavs_audio1527223564554_1_2.wav 15
+wavs_audio1527223637328_2_4.wav 21
+wavs_audio1527223759442_6_2.wav 23
+wavs_audio1527223760200_2_3.wav 21
+wavs_audio1527223778250_6_4.wav 35
+wavs_audio1527223808841_2_5.wav 14
+wavs_audio1527223821500_3_1.wav 15
+wavs_audio1527223871643_3_4.wav 13
+wavs_audio1527223959266_3_4.wav 13
+wavs_audio1527223968864_4_1.wav 18
+wavs_audio1527224013601_3_8.wav 13
+wavs_audio1527224033664_1_1.wav 18
+wavs_audio1527224060005_5_2.wav 32
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21.log b/exp/asr_stats_raw_en_word/logdir/stats.21.log
new file mode 100644
index 0000000000000000000000000000000000000000..e4e01b652b21e50c1704a05e1097f368dc4a66b8
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21.log
@@ -0,0 +1,495 @@
+# Running on r073.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:09 EST 2021
+# SLURMD_NODENAME=r073
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=21
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730474
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730474
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r073
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r073
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=9119
+# SLURM_TOPOLOGY_ADDR=r073
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.21.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.21.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.21 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.21.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.21.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.21 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r073] 2021-12-21 22:25:08,098 (asr:382) INFO: Vocabulary size: 40
+[r073] 2021-12-21 22:25:09,060 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r073] 2021-12-21 22:25:09,065 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r073] 2021-12-21 22:25:09,065 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r073] 2021-12-21 22:25:09,066 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r073] 2021-12-21 22:25:09,067 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.21/config.yaml
+[r073] 2021-12-21 22:25:09,077 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.21', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.21.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.21.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143449
+# Accounting: end_time=1640143518
+# Accounting: time=69 threads=1
+# Finished at Tue Dec 21 22:25:18 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.21/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e2fb54d5eec8360e360585a0472112e66a7e186a
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.21
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.21.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.21.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
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+version: 0.10.3a3
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..fd668fe4c1703fdd07bc45a36d2290305d845068
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..6e74815f653db21b9368b1a41fdbb81385e25765
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..2133e7b7193e979bfaba2ed311378087a9d0d6cd
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1527224071153_1_6.wav 48000
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+wavs_audio1527224097133_5_5.wav 53760
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+wavs_audio1527224145343_2_2.wav 64320
+wavs_audio1527224168926_2_1.wav 55680
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+wavs_audio1527224326838_3_8.wav 37440
+wavs_audio1527224348792_2_1.wav 47040
+wavs_audio1527224385235_4_3.wav 35520
+wavs_audio1527224431642_2_7.wav 38400
+wavs_audio1527224431866_2_4.wav 39360
+wavs_audio1527224472058_5_5.wav 54720
+wavs_audio1527224473918_6_2.wav 43200
+wavs_audio1527224490598_6_4.wav 53760
+wavs_audio1527224509618_2_5.wav 40320
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+wavs_audio1527224565359_1_1.wav 95040
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+wavs_audio1527224654219_5_5.wav 52800
+wavs_audio1527224673527_4_3.wav 38400
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.21/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..71c8816f66c9563920ae8ca38d7ee3a74b97840d
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.21/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527224071153_1_6.wav 11
+wavs_audio1527224079600_6_1.wav 21
+wavs_audio1527224097133_5_5.wav 27
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22.log b/exp/asr_stats_raw_en_word/logdir/stats.22.log
new file mode 100644
index 0000000000000000000000000000000000000000..61ff10026d2d95ac337810fb01f8bcf03919b6d9
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22.log
@@ -0,0 +1,495 @@
+# Running on r041.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:02 EST 2021
+# SLURMD_NODENAME=r041
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=22
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730478
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730478
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r041
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r041
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=100264
+# SLURM_TOPOLOGY_ADDR=r041
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.22.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.22.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.22 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.22.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.22.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.22 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r041] 2021-12-21 22:25:57,019 (asr:382) INFO: Vocabulary size: 40
+[r041] 2021-12-21 22:25:57,917 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r041] 2021-12-21 22:25:57,924 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r041] 2021-12-21 22:25:57,924 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r041] 2021-12-21 22:25:57,924 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r041] 2021-12-21 22:25:57,927 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.22/config.yaml
+[r041] 2021-12-21 22:25:57,940 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.22', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.22.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.22.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143502
+# Accounting: end_time=1640143568
+# Accounting: time=66 threads=1
+# Finished at Tue Dec 21 22:26:08 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.22/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2e419fde9ee8258c85a26f891830d1cabba72e80
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.22
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.22.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.22.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
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+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
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+    extract_feats_in_collect_stats: true
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+frontend: default
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+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
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+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
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+normalize: utterance_mvn
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+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
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+    self_attention_dropout_rate: 0.0
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+required:
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+version: 0.10.3a3
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.22/train/batch_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..7232230477edafb1bc46d58eed67a260d6492bf7
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..5ff28db7ce907ce24c3236529a3b11e8d5eab28c
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..1d482743ca32b29151796fc808470030bee8268a
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/speech_shape
@@ -0,0 +1,24 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.22/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..56dc9bc49a720221ee18ead58deec91387de2b15
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.22/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23.log b/exp/asr_stats_raw_en_word/logdir/stats.23.log
new file mode 100644
index 0000000000000000000000000000000000000000..e78b47c940a85761efdfb3d89d74fa4bd50a5569
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23.log
@@ -0,0 +1,495 @@
+# Running on r041.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:12 EST 2021
+# SLURMD_NODENAME=r041
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=23
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730479
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730479
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r041
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r041
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=100803
+# SLURM_TOPOLOGY_ADDR=r041
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.23.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.23.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.23 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.23.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.23.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.23 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r041] 2021-12-21 22:25:57,019 (asr:382) INFO: Vocabulary size: 40
+[r041] 2021-12-21 22:25:57,917 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r041] 2021-12-21 22:25:57,924 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r041] 2021-12-21 22:25:57,924 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r041] 2021-12-21 22:25:57,924 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r041] 2021-12-21 22:25:57,927 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.23/config.yaml
+[r041] 2021-12-21 22:25:57,940 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.23', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.23.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.23.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143512
+# Accounting: end_time=1640143568
+# Accounting: time=56 threads=1
+# Finished at Tue Dec 21 22:26:08 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.23/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..52cae6907ccbb2e6f41eb4c94ff777894a826694
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23/config.yaml
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+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.23
+ngpu: 0
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+dist_backend: nccl
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+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
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+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
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+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.23.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.23.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
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+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
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+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
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+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
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+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
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+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
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+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.23/train/batch_keys
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index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
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@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.23/train/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.23/train/feats_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.23/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/train/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.23/train/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/feats_lengths_stats.npz
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index 0000000000000000000000000000000000000000..c0c4105f725758306221fc783156daa9e39a9968
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/feats_stats.npz
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index 0000000000000000000000000000000000000000..88c7fcc28770ebbae4c189790d3258ec239fed4b
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..f50f43017f6d80d3ec3ea39bfc3d0e4622003957
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/speech_shape
@@ -0,0 +1,24 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.23/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/text_shape
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index 0000000000000000000000000000000000000000..6e0df18d4599678e50e05759a0f99c373dd5873d
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.23/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24.log b/exp/asr_stats_raw_en_word/logdir/stats.24.log
new file mode 100644
index 0000000000000000000000000000000000000000..ab8df0f52deba15d403c21b0eb710cecd7c006e5
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.24.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:25 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=24
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730481
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730481
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=36650
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.24.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.24.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.24 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.24.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.24.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.24 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,030 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,031 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.24/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.24', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.24.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.24.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143525
+# Accounting: end_time=1640143606
+# Accounting: time=81 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.24/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0118093736c4755d9e4a1248cd940e4df3241a2c
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.24/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.24
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.24.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.24.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.24/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.24/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..109cc3d32e09e17e201df344d92697a2516ce517
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..570fa02fa2b26d0aa2376f8ccf7381c5173e36e5
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.24/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.24/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.24/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..f352b5a92d03a45667e7f9b5eb5f039d409af2b1
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.24/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25.log b/exp/asr_stats_raw_en_word/logdir/stats.25.log
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+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:34 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=25
+# SLURM_ARRAY_TASK_MAX=32
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+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730482
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730482
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
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+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=37226
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.25.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.25.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.25 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.25.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.25.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.25 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,031 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,031 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.25/config.yaml
+[r009] 2021-12-21 22:26:33,046 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.25', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.25.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.25.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143534
+# Accounting: end_time=1640143606
+# Accounting: time=72 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.25/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5b3cd517e2fdc1e089c7481839f1058e3f16f4d8
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.25/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.25
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.25.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.25.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.25/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.25/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..026179cfe23765ad6cc329154ee0615439144980
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..36db17934652526418d31378dc8fb777a1a4ce69
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.25/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.25/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.25/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..d63f61c0fb73b1148cb4cb7a81afe8e5767a37a8
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.25/train/speech_shape
@@ -0,0 +1,190 @@
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+wavs_audio1527227080196_2_4.wav 21
+wavs_audio1527227094842_1_7.wav 31
+wavs_audio1527227126702_2_5.wav 14
+wavs_audio1527227210737_1_7.wav 31
+wavs_audio1527227211083_6_4.wav 35
+wavs_audio1527227985257_1_6.wav 11
+wavs_audio1527227996876_1_2.wav 15
+wavs_audio1527228017312_1_3.wav 9
+wavs_audio1527228128814_3_2.wav 13
+wavs_audio1527228151310_2_1.wav 23
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26.log b/exp/asr_stats_raw_en_word/logdir/stats.26.log
new file mode 100644
index 0000000000000000000000000000000000000000..97b257f0893b13fc8a8260d75c1a87fb9087da14
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:26:05 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=26
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730483
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730483
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=38876
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.26.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.26.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.26 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.26.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.26.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.26 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,031 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,031 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.26/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.26', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.26.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.26.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143565
+# Accounting: end_time=1640143605
+# Accounting: time=40 threads=1
+# Finished at Tue Dec 21 22:26:45 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.26/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8ce847c8c45f5e541dd5f3acc92dc6dc304b7da3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.26
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.26.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.26.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.26/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..7ce83afa5b70d28b51a363b90286442f709e0d3c
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..5c20833090bd0ae41eef4655d8e6be0061047010
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.26/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.26/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..7d278fe2e640c5fb451951494a1d6865d58f0558
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26/train/speech_shape
@@ -0,0 +1,190 @@
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+wavs_audio1527228188895_3_2.wav 52800
+wavs_audio1527228199353_3_3.wav 38400
+wavs_audio1527228210024_4_2.wav 50880
+wavs_audio1527228214127_1_1.wav 39360
+wavs_audio1527228220873_4_5.wav 30720
+wavs_audio1527228267097_1_5.wav 30720
+wavs_audio1527228279144_5_5.wav 41280
+wavs_audio1527228298254_1_2.wav 42240
+wavs_audio1527228328477_2_6.wav 43200
+wavs_audio1527228335293_4_5.wav 40320
+wavs_audio1527228377033_5_3.wav 56640
+wavs_audio1527228409732_3_3.wav 37440
+wavs_audio1527228425406_3_5.wav 64320
+wavs_audio1527228510973_3_5.wav 51840
+wavs_audio1527228603691_5_1.wav 63360
+wavs_audio1527228631844_5_5.wav 39360
+wavs_audio1527228733389_6_1.wav 53760
+wavs_audio1527232221298_1_7.wav 110400
+wavs_audio1527239819416_4_2.wav 68160
+wavs_audio1527240262073_2_1.wav 72000
+wavs_audio1527240273519_1_7.wav 69120
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.26/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.26/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.26/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..e64b4e0c81336cc30efae365309ad722f383bf54
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.26/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527228164089_3_6.wav 20
+wavs_audio1527228167030_2_2.wav 23
+wavs_audio1527228177956_1_2.wav 15
+wavs_audio1527228188895_3_2.wav 13
+wavs_audio1527228199353_3_3.wav 15
+wavs_audio1527228210024_4_2.wav 20
+wavs_audio1527228214127_1_1.wav 18
+wavs_audio1527228220873_4_5.wav 20
+wavs_audio1527228267097_1_5.wav 17
+wavs_audio1527228279144_5_5.wav 27
+wavs_audio1527228298254_1_2.wav 15
+wavs_audio1527228328477_2_6.wav 20
+wavs_audio1527228335293_4_5.wav 20
+wavs_audio1527228377033_5_3.wav 29
+wavs_audio1527228409732_3_3.wav 15
+wavs_audio1527228425406_3_5.wav 20
+wavs_audio1527228510973_3_5.wav 20
+wavs_audio1527228603691_5_1.wav 27
+wavs_audio1527228631844_5_5.wav 27
+wavs_audio1527228733389_6_1.wav 21
+wavs_audio1527232221298_1_7.wav 31
+wavs_audio1527239819416_4_2.wav 20
+wavs_audio1527240262073_2_1.wav 23
+wavs_audio1527240273519_1_7.wav 31
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27.log b/exp/asr_stats_raw_en_word/logdir/stats.27.log
new file mode 100644
index 0000000000000000000000000000000000000000..6171a2c20a681da0e221e71859572c6e785a49f3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:43 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=27
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730484
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730484
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=37637
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.27.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.27.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.27 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.27.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.27.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.27 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,052 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,028 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,036 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,036 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,036 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,038 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.27/config.yaml
+[r009] 2021-12-21 22:26:33,051 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.27', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.27.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.27.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143543
+# Accounting: end_time=1640143606
+# Accounting: time=63 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.27/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d97172b782799e2e131c225799af8dfc8b2a46ef
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.27
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.27.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.27.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.27/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..15011313e4f3979e8daa14495c482eb7091da789
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..f108b9703d0f1efbd3f217139ab44fc84dbf4c16
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.27/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.27/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..e67247e8d14b196d413a2af5d63c77000d58a1ba
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/train/speech_shape
@@ -0,0 +1,190 @@
+wavs_audio1527228706422_6_3.wav 43200
+wavs_audio1527228710060_5_7.wav 68160
+wavs_audio1527228715140_6_4.wav 48960
+wavs_audio1527228717604_6_4.wav 43200
+wavs_audio1527228760882_6_3.wav 61440
+wavs_audio1527228784484_6_4.wav 59520
+wavs_audio1527232241691_1_6.wav 64320
+wavs_audio1527232256808_1_5.wav 51840
+wavs_audio1527232279605_1_4.wav 70080
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+wavs_audio1527240727833_6_3.wav 33
+wavs_audio1527240729266_3_5.wav 20
+wavs_audio1527240731710_3_6.wav 20
+wavs_audio1527240734020_6_4.wav 35
+wavs_audio1527240737976_3_6.wav 20
+wavs_audio1527240742893_3_7.wav 13
+wavs_audio1527240745867_1_2.wav 15
+wavs_audio1527240747801_5_7.wav 29
+wavs_audio1527240748975_3_7.wav 13
+wavs_audio1527240753834_1_7.wav 31
+wavs_audio1527240758137_3_8.wav 13
+wavs_audio1527240758464_1_3.wav 9
+wavs_audio1527240758706_3_8.wav 13
+wavs_audio1527240769990_6_1.wav 21
+wavs_audio1527240778147_1_4.wav 20
+wavs_audio1527240778842_6_2.wav 23
+wavs_audio1527240786657_4_1.wav 18
+wavs_audio1527240787730_1_5.wav 17
+wavs_audio1527240789559_4_3.wav 18
+wavs_audio1527240795229_4_2.wav 20
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..789a556e3693acc4138263edf4ad48ce28875ce7
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..3687fbe9693c6c1b0a766a1ac65505764f649f71
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..826caf15782ae4358f6b36acf232cf937dee9850
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1527240297686_5_4.wav 35520
+wavs_audio1527240362877_6_1.wav 95040
+wavs_audio1527240389211_4_3.wav 40320
+wavs_audio1527240389520_3_2.wav 35520
+wavs_audio1527240422310_3_5.wav 48960
+wavs_audio1527240433210_3_8.wav 30720
+wavs_audio1527240467724_3_8.wav 48960
+wavs_audio1527240469351_3_3.wav 37440
+wavs_audio1527240473185_3_3.wav 40320
+wavs_audio1527240545880_1_4.wav 44160
+wavs_audio1527240547706_3_6.wav 45120
+wavs_audio1527240626856_2_2.wav 37440
+wavs_audio1527240628999_5_6.wav 54720
+wavs_audio1527240683659_5_3.wav 39360
+wavs_audio1527240695097_2_7.wav 27840
+wavs_audio1527240866026_5_2.wav 63360
+wavs_audio1527240965719_3_4.wav 35520
+wavs_audio1527241022028_4_3.wav 37440
+wavs_audio1527241081268_6_1.wav 66240
+wavs_audio1527241212847_5_4.wav 57600
+wavs_audio1527241234292_1_7.wav 71040
+wavs_audio1527241242536_6_4.wav 53760
+wavs_audio1527241243371_1_4.wav 64320
+wavs_audio1527241286130_5_4.wav 76800
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.27/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..d134e2f7a2a040d246a2c28f8acfbd493aea8b9d
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.27/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1527240297686_5_4.wav 29
+wavs_audio1527240362877_6_1.wav 21
+wavs_audio1527240389211_4_3.wav 18
+wavs_audio1527240389520_3_2.wav 13
+wavs_audio1527240422310_3_5.wav 20
+wavs_audio1527240433210_3_8.wav 13
+wavs_audio1527240467724_3_8.wav 13
+wavs_audio1527240469351_3_3.wav 15
+wavs_audio1527240473185_3_3.wav 15
+wavs_audio1527240545880_1_4.wav 20
+wavs_audio1527240547706_3_6.wav 20
+wavs_audio1527240626856_2_2.wav 23
+wavs_audio1527240628999_5_6.wav 27
+wavs_audio1527240683659_5_3.wav 29
+wavs_audio1527240695097_2_7.wav 20
+wavs_audio1527240866026_5_2.wav 32
+wavs_audio1527240965719_3_4.wav 13
+wavs_audio1527241022028_4_3.wav 18
+wavs_audio1527241081268_6_1.wav 21
+wavs_audio1527241212847_5_4.wav 29
+wavs_audio1527241234292_1_7.wav 31
+wavs_audio1527241242536_6_4.wav 35
+wavs_audio1527241243371_1_4.wav 20
+wavs_audio1527241286130_5_4.wav 29
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28.log b/exp/asr_stats_raw_en_word/logdir/stats.28.log
new file mode 100644
index 0000000000000000000000000000000000000000..61a82b7f53e7f629598bc06c336e0aa7dfdae5ad
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:50 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=28
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730485
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730485
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=38050
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.28.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.28.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.28 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.28.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.28.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.28 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,030 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,031 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.28/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.28', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.28.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.28.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143550
+# Accounting: end_time=1640143606
+# Accounting: time=56 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.28/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d06c8e675711c4a8122c2184738e1a28e36e4297
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.28
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.28.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.28.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
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+wavs_audio1527241336847_2_7.wav 20
+wavs_audio1527241340262_2_6.wav 20
+wavs_audio1527241342037_3_7.wav 13
+wavs_audio1527241345248_1_2.wav 15
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+wavs_audio1527241349519_3_6.wav 20
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+wavs_audio1527241419765_2_5.wav 14
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+wavs_audio1527241425228_1_5.wav 17
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+wavs_audio1527241463133_1_6.wav 11
+wavs_audio1527241467087_2_4.wav 21
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..f0607f8d97f7c81bf8086609fe567ae9944c3fc0
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..e564f26f5951ed6487b5b823ae7bcc725d6ec5ea
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..129be209aefc30191a961247555bc893aaaff593
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/speech_shape
@@ -0,0 +1,23 @@
+wavs_audio1527241313304_1_4.wav 55680
+wavs_audio1527241335886_1_4.wav 51840
+wavs_audio1527241396148_3_4.wav 41280
+wavs_audio1527241401601_1_5.wav 44160
+wavs_audio1527241424203_2_5.wav 55680
+wavs_audio1527241452526_3_4.wav 62400
+wavs_audio1527241457111_1_3.wav 40320
+wavs_audio1527241465419_2_2.wav 48000
+wavs_audio1527241476219_1_7.wav 69120
+wavs_audio1527241513145_1_5.wav 52800
+wavs_audio1527241530046_2_6.wav 34560
+wavs_audio1527241554743_1_3.wav 64320
+wavs_audio1527241586980_1_8.wav 51840
+wavs_audio1527241606682_2_2.wav 40320
+wavs_audio1527241633797_1_3.wav 18240
+wavs_audio1527241635941_3_8.wav 42240
+wavs_audio1527241648254_3_8.wav 48000
+wavs_audio1527241673780_4_4.wav 35520
+wavs_audio1527241693808_3_2.wav 31680
+wavs_audio1527241709312_1_5.wav 38400
+wavs_audio1527241722033_5_3.wav 45120
+wavs_audio1527241725495_3_5.wav 33600
+wavs_audio1527241730026_3_2.wav 38400
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.28/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..a2b87addb61007480ce77b99c23bbe627fda511e
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.28/valid/text_shape
@@ -0,0 +1,23 @@
+wavs_audio1527241313304_1_4.wav 20
+wavs_audio1527241335886_1_4.wav 20
+wavs_audio1527241396148_3_4.wav 13
+wavs_audio1527241401601_1_5.wav 17
+wavs_audio1527241424203_2_5.wav 14
+wavs_audio1527241452526_3_4.wav 13
+wavs_audio1527241457111_1_3.wav 9
+wavs_audio1527241465419_2_2.wav 23
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+wavs_audio1527241554743_1_3.wav 9
+wavs_audio1527241586980_1_8.wav 33
+wavs_audio1527241606682_2_2.wav 23
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+wavs_audio1527241725495_3_5.wav 20
+wavs_audio1527241730026_3_2.wav 13
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29.log b/exp/asr_stats_raw_en_word/logdir/stats.29.log
new file mode 100644
index 0000000000000000000000000000000000000000..5753c6858ab1ca32cb4e931ecd4ab5f6e1d05d42
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:26:28 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=29
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730486
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730486
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=40131
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.29.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.29.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.29 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.29.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.29.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.29 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,030 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,031 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.29/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.29', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.29.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.29.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143588
+# Accounting: end_time=1640143606
+# Accounting: time=18 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.29/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..eb32a4c7bb5ae6572e2815f78ce771097091eb91
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.29
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.29.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.29.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
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+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
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+valid_max_cache_size: null
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+- <unk>
+- ්
+- න
+- ම
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+- ල
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+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
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+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
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+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.29/train/batch_keys
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@@ -0,0 +1,2 @@
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+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.29/train/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.29/train/feats_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.29/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..36bd41b86d5337851c0abacbe31a6f54ddcc3967
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..e0760cf0c735c8f52bbc78d520804e76bbbfa481
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..25a45bbe37dd08098c31895bf66e35e58d5c55d6
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/speech_shape
@@ -0,0 +1,23 @@
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+wavs_audio1527241748059_4_3.wav 48960
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+wavs_audio1527242044874_4_5.wav 24960
+wavs_audio1527242061629_4_4.wav 30720
+wavs_audio1527242096072_5_3.wav 24960
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+wavs_audio1527242164776_4_1.wav 26880
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.29/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..c392293aafd41bb22dc3f69a155f648431ddddaf
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.29/valid/text_shape
@@ -0,0 +1,23 @@
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+wavs_audio1527241736677_4_3.wav 18
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3.log b/exp/asr_stats_raw_en_word/logdir/stats.3.log
new file mode 100644
index 0000000000000000000000000000000000000000..a44251194b77f24e654c3aca8f3296c1d5b77602
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.3.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:23:50 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=3
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730456
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730456
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=2761
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.3.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.3.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.3 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.3.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.3.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.3 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,021 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,027 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,027 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,029 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.3/config.yaml
+[r099] 2021-12-21 22:25:09,041 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.3', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.3.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.3.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143430
+# Accounting: end_time=1640143519
+# Accounting: time=89 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.3/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..76c879667e33623bd0a6933bd2c9f162fd6c8ffd
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.3/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.3
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.3.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.3.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.3/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.3/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..c9bb3868f2d8ddd581b72200f64ea4637447ead5
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..af7858602af2de5fd7290a432574f9c399ce9ffe
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.3/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.3/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..c8bdc4f4a91b138e0371dd8b733fa20e08fe04b7
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.3/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.3/train/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/train/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.3/train/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.3/valid/batch_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.3/valid/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.3/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.3/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30.log b/exp/asr_stats_raw_en_word/logdir/stats.30.log
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+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:25:58 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=30
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730487
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730487
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=38462
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.30.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.30.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.30 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.30.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.30.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.30 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,052 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,025 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,032 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,032 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,035 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.30/config.yaml
+[r009] 2021-12-21 22:26:33,048 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.30', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.30.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.30.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143558
+# Accounting: end_time=1640143606
+# Accounting: time=48 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.30/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0bf0a8f59e3c79a3bcb179985b3780ca5ccb96cc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.30/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.30
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.30.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.30.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.30/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.30/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..b63d3dba45c99f098311c658c82f17a3e29555d7
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..b2e8305155d9726bfedf49deb983485bd5ba79cd
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.30/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.30/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.30/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..88f67e851f8b1bcef3312669acdeabcca48ed516
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.30/train/speech_shape
@@ -0,0 +1,190 @@
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+wavs_audio1527242961584_4_1.wav 18
+wavs_audio1527242961688_4_3.wav 18
+wavs_audio1527242962611_3_5.wav 20
+wavs_audio1527242970452_4_4.wav 12
+wavs_audio1527242979213_4_3.wav 18
+wavs_audio1527242990190_4_1.wav 18
+wavs_audio1527242995459_4_4.wav 12
+wavs_audio1527243018159_6_2.wav 23
+wavs_audio1527243019830_4_1.wav 18
+wavs_audio1527243040800_4_3.wav 18
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31.log b/exp/asr_stats_raw_en_word/logdir/stats.31.log
new file mode 100644
index 0000000000000000000000000000000000000000..31bea1d6f8af3ebb6722a141da59be4a32421292
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:26:20 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=31
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730488
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730488
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=39709
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.31.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.31.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.31 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.31.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.31.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.31 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,030 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,030 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.31/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.31', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.31.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.31.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143580
+# Accounting: end_time=1640143606
+# Accounting: time=26 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.31/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a69562483db4ed193c3cf139120f3596f7a386ea
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.31
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.31.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.31.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.31/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..5569ebc6db0b7539a0b04b7bd192ea536a811913
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4452d68a9995891374b66d2eb26bd63687c33639
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.31/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.31/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..07d749e8263d79e92cc5d1cc773fd27d07317ee7
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31/train/speech_shape
@@ -0,0 +1,190 @@
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+wavs_audio1527243120308_4_3.wav 79680
+wavs_audio1527243135933_6_1.wav 41280
+wavs_audio1527243145241_1_2.wav 64320
+wavs_audio1527243160745_1_5.wav 34560
+wavs_audio1527243174867_5_5.wav 50880
+wavs_audio1527243200331_2_6.wav 31680
+wavs_audio1527243204770_1_7.wav 60480
+wavs_audio1527243240390_5_2.wav 56640
+wavs_audio1527243258324_2_5.wav 30720
+wavs_audio1527243264959_2_2.wav 39360
+wavs_audio1527243327831_2_1.wav 36480
+wavs_audio1527243345808_3_8.wav 40320
+wavs_audio1527243390782_3_6.wav 32640
+wavs_audio1527243416648_4_5.wav 48000
+wavs_audio1527243425290_2_3.wav 100800
+wavs_audio1527243452132_1_2.wav 74880
+wavs_audio1527243495008_5_4.wav 54720
+wavs_audio1527243533998_1_7.wav 72000
+wavs_audio1527243551695_1_8.wav 92160
+wavs_audio1527243575559_2_5.wav 48960
+wavs_audio1527243587779_2_1.wav 42240
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.31/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.31/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.31/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..f30efc166ee87038c57daab3734f3eef8d4bf43c
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.31/valid/text_shape
@@ -0,0 +1,23 @@
+wavs_audio1527243078485_5_1.wav 27
+wavs_audio1527243104404_1_2.wav 15
+wavs_audio1527243120308_4_3.wav 18
+wavs_audio1527243135933_6_1.wav 21
+wavs_audio1527243145241_1_2.wav 15
+wavs_audio1527243160745_1_5.wav 17
+wavs_audio1527243174867_5_5.wav 27
+wavs_audio1527243200331_2_6.wav 20
+wavs_audio1527243204770_1_7.wav 31
+wavs_audio1527243240390_5_2.wav 32
+wavs_audio1527243258324_2_5.wav 14
+wavs_audio1527243264959_2_2.wav 23
+wavs_audio1527243327831_2_1.wav 23
+wavs_audio1527243345808_3_8.wav 13
+wavs_audio1527243390782_3_6.wav 20
+wavs_audio1527243416648_4_5.wav 20
+wavs_audio1527243425290_2_3.wav 21
+wavs_audio1527243452132_1_2.wav 15
+wavs_audio1527243495008_5_4.wav 29
+wavs_audio1527243533998_1_7.wav 31
+wavs_audio1527243551695_1_8.wav 33
+wavs_audio1527243575559_2_5.wav 14
+wavs_audio1527243587779_2_1.wav 23
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32.log b/exp/asr_stats_raw_en_word/logdir/stats.32.log
new file mode 100644
index 0000000000000000000000000000000000000000..66381c54d7be724e4b5a7a24c08b363352880385
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32.log
@@ -0,0 +1,495 @@
+# Running on r009.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:26:11 EST 2021
+# SLURMD_NODENAME=r009
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=32
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730432
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730432
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r009
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r009
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=39285
+# SLURM_TOPOLOGY_ADDR=r009
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.32.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.32.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.32 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.32.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.32.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.32 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r009] 2021-12-21 22:26:32,051 (asr:382) INFO: Vocabulary size: 40
+[r009] 2021-12-21 22:26:33,024 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r009] 2021-12-21 22:26:33,030 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r009] 2021-12-21 22:26:33,030 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r009] 2021-12-21 22:26:33,030 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r009] 2021-12-21 22:26:33,033 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.32/config.yaml
+[r009] 2021-12-21 22:26:33,045 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.32', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.32.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.32.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143571
+# Accounting: end_time=1640143606
+# Accounting: time=35 threads=1
+# Finished at Tue Dec 21 22:26:46 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.32/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5bce5016b7bbc78d3554796d1dab8a018b273b6d
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.32
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.32.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.32.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.32/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..be58e297486cf3ce44b5e46dfa90e6c28f491b5a
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..6eddde9a7318047fae84d3bf96a200e8bfd17497
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.32/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.32/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..6944cf68ef99cb8ad634d60c8be1291b15749c28
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/train/speech_shape
@@ -0,0 +1,190 @@
+wavs_audio1527243456906_1_3.wav 41280
+wavs_audio1527243462771_5_2.wav 71040
+wavs_audio1527243463007_1_3.wav 38400
+wavs_audio1527243466193_1_4.wav 89280
+wavs_audio1527243472807_6_3.wav 52800
+wavs_audio1527243473238_1_4.wav 61440
+wavs_audio1527243480168_5_3.wav 48960
+wavs_audio1527243489420_1_5.wav 58560
+wavs_audio1527243493470_4_4.wav 25920
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+wavs_audio1527244509230_1_4.wav 20
+wavs_audio1527244536870_4_4.wav 12
+wavs_audio1527244588695_5_2.wav 32
+wavs_audio1527244609379_5_3.wav 29
+wavs_audio1527244635281_5_4.wav 29
+wavs_audio1527244654281_5_5.wav 27
+wavs_audio1527244676252_5_6.wav 27
+wavs_audio1527244707717_6_2.wav 23
+wavs_audio1527244719835_6_3.wav 33
+wavs_audio1527258294242_1_1.wav 18
+wavs_audio1527258339251_3_6.wav 20
+wavs_audio1527258360599_4_1.wav 18
+wavs_audio1527318070652_1_2.wav 15
+wavs_audio1527318092015_1_8.wav 33
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..ebe46fdfcfa13fde1e81c0c5988a0a7b3d2463d9
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..3440ba3305e5750b0d08330f00e82135049f4647
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..63f37b57be6c3ca951f572d3bb2aa40a0da489f6
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/speech_shape
@@ -0,0 +1,23 @@
+wavs_audio1527243599653_6_4.wav 79680
+wavs_audio1527243633977_2_2.wav 47040
+wavs_audio1527243635867_3_2.wav 48000
+wavs_audio1527243646559_2_3.wav 29760
+wavs_audio1527243713686_3_2.wav 28800
+wavs_audio1527243718497_2_2.wav 78720
+wavs_audio1527243734122_3_5.wav 74880
+wavs_audio1527243799403_5_7.wav 77760
+wavs_audio1527243833670_5_3.wav 59520
+wavs_audio1527243855224_4_1.wav 41280
+wavs_audio1527243881529_5_5.wav 60480
+wavs_audio1527243891008_4_5.wav 62400
+wavs_audio1527243926099_5_1.wav 56640
+wavs_audio1527244031369_4_3.wav 80640
+wavs_audio1527244039143_5_7.wav 62400
+wavs_audio1527244114962_3_5.wav 39360
+wavs_audio1527244136347_3_3.wav 40320
+wavs_audio1527244190638_6_2.wav 60480
+wavs_audio1527244306801_2_6.wav 39360
+wavs_audio1527244314293_2_7.wav 41280
+wavs_audio1527244697538_6_1.wav 31680
+wavs_audio1527244727762_6_3.wav 32640
+wavs_audio1527258321370_2_1.wav 65280
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.32/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..134a597be6cf53dcc2a7c4ddc612111403dcf421
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.32/valid/text_shape
@@ -0,0 +1,23 @@
+wavs_audio1527243599653_6_4.wav 35
+wavs_audio1527243633977_2_2.wav 23
+wavs_audio1527243635867_3_2.wav 13
+wavs_audio1527243646559_2_3.wav 21
+wavs_audio1527243713686_3_2.wav 13
+wavs_audio1527243718497_2_2.wav 23
+wavs_audio1527243734122_3_5.wav 20
+wavs_audio1527243799403_5_7.wav 29
+wavs_audio1527243833670_5_3.wav 29
+wavs_audio1527243855224_4_1.wav 18
+wavs_audio1527243881529_5_5.wav 27
+wavs_audio1527243891008_4_5.wav 20
+wavs_audio1527243926099_5_1.wav 27
+wavs_audio1527244031369_4_3.wav 18
+wavs_audio1527244039143_5_7.wav 29
+wavs_audio1527244114962_3_5.wav 20
+wavs_audio1527244136347_3_3.wav 15
+wavs_audio1527244190638_6_2.wav 23
+wavs_audio1527244306801_2_6.wav 20
+wavs_audio1527244314293_2_7.wav 20
+wavs_audio1527244697538_6_1.wav 21
+wavs_audio1527244727762_6_3.wav 33
+wavs_audio1527258321370_2_1.wav 23
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4.log b/exp/asr_stats_raw_en_word/logdir/stats.4.log
new file mode 100644
index 0000000000000000000000000000000000000000..452e9ef6083e47de6f6019cf25b55e4c8010a025
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:01 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=4
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730457
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730457
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3454
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.4.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.4.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.4 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.4.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.4.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.4 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,021 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,027 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,027 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,030 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.4/config.yaml
+[r099] 2021-12-21 22:25:09,042 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.4', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.4.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.4.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143441
+# Accounting: end_time=1640143519
+# Accounting: time=78 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.4/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cb2d2db22704d0fe9531449cdea28816e6179398
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.4
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.4.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.4.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..995766d3f2601a30d48c1d9c72fa74d86e97a3aa
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..893b006595864e12458073d63d57e57a75d6d006
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..06104ddcde37c98200d935c4936b7cb7d2f09316
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/speech_shape
@@ -0,0 +1,24 @@
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+wavs_audio1525854666500_1_6.wav 42240
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+wavs_audio1525854815464_3_3.wav 92160
+wavs_audio1525854853932_5_6.wav 62400
+wavs_audio1525854877701_4_2.wav 51840
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+wavs_audio1525855054372_1_7.wav 48000
+wavs_audio1525855302744_4_1.wav 40320
+wavs_audio1525855485115_6_2.wav 50880
+wavs_audio1525855825021_2_1.wav 53760
+wavs_audio1525855869312_1_5.wav 62400
+wavs_audio1525855959592_2_3.wav 52800
+wavs_audio1525855989740_3_5.wav 60480
+wavs_audio1525855998671_2_6.wav 74880
+wavs_audio1525856050733_1_4.wav 59520
+wavs_audio1525856075618_3_3.wav 48960
+wavs_audio1525856076313_4_2.wav 65280
+wavs_audio1525856106095_4_5.wav 53760
+wavs_audio1525856151069_5_1.wav 55680
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+wavs_audio1525856290418_4_4.wav 53760
+wavs_audio1525856294817_2_5.wav 80640
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.4/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..20af74226af26718ce6858bcbd76b5e7989ce53a
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.4/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1525854594559_2_4.wav 21
+wavs_audio1525854656509_5_7.wav 29
+wavs_audio1525854666500_1_6.wav 11
+wavs_audio1525854710716_6_1.wav 21
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+wavs_audio1525856290418_4_4.wav 12
+wavs_audio1525856294817_2_5.wav 14
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5.log b/exp/asr_stats_raw_en_word/logdir/stats.5.log
new file mode 100644
index 0000000000000000000000000000000000000000..c40d91ae0effd8f5b2a75654fea75a0c6efbb5b3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:09 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=5
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730458
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730458
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=3886
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.5.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.5.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.5 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.5.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.5.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.5 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,021 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,027 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,027 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,029 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.5/config.yaml
+[r099] 2021-12-21 22:25:09,041 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.5', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.5.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.5.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143449
+# Accounting: end_time=1640143519
+# Accounting: time=70 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ed6d0dfc3634220c005edb9a480cd19ebfd271f3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.5
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.5.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.5.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
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+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
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+- <unk>
+- ්
+- න
+- ම
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+- ල
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+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
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+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
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+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
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+decoder: transformer
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+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.5/train/batch_keys
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@@ -0,0 +1,2 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.5/train/feats_lengths_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.5/train/feats_stats.npz
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.5/train/speech_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..1ed3b17c51773e8a845d465e433304d415d9a8b7
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..9bb3ae16692672775f78135ce8f1254da2aa82e4
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..5a53b364b4052852e09c76bfdd77cc55363aab76
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/speech_shape
@@ -0,0 +1,24 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.5/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..3e3923603483ad96325e667f7e817d6aa62003a9
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.5/valid/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6.log b/exp/asr_stats_raw_en_word/logdir/stats.6.log
new file mode 100644
index 0000000000000000000000000000000000000000..0c010c2f7ce046e7163e75a138e7544a5289f7bd
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.6.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:17 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=6
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730459
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730459
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=4352
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.6.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.6.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.6 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.6.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.6.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.6 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,022 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,028 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,028 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,028 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,029 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.6/config.yaml
+[r099] 2021-12-21 22:25:09,042 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.6', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.6.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.6.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143457
+# Accounting: end_time=1640143519
+# Accounting: time=62 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.6/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1e010662f46f7a39ec83b6e383516a0eb8a13312
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.6/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.6
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.6.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.6.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.6/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.6/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..35fb5f68f206ae72f8bac1e10f13f9c013190a6d
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..1008cbf84625d2cd46b2d4de6d0b543988429ecd
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.6/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.6/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..ae8da9d2f3fc8c2069615014bf36688521d12418
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.6/train/speech_shape
@@ -0,0 +1,191 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/train/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.6/train/text_shape
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.6/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.6/valid/stats_keys
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7.log b/exp/asr_stats_raw_en_word/logdir/stats.7.log
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+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:25 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=7
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730460
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730460
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=4760
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.7.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.7.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.7 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.7.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.7.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.7 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,019 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,024 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,024 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,024 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.7/config.yaml
+[r099] 2021-12-21 22:25:09,037 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.7', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.7.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.7.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143465
+# Accounting: end_time=1640143519
+# Accounting: time=54 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.7/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1ee0d0dcfdf882fb6283f0dfb758f124756e6cba
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.7/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.7
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.7.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.7.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.7/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.7/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..5f8142b9ed7db8857b6377e4c5fb46e289b773b3
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..11d676955baea8955cf3256c42d4866df1a81a62
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.7/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.7/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.7/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..dcd5f2f7ba56794f81c3d92626f53b476f5fdaff
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.7/train/speech_shape
@@ -0,0 +1,191 @@
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+wavs_audio1525858092666_5_7.wav 29
+wavs_audio1525858142075_2_1.wav 23
+wavs_audio1525858144862_6_3.wav 33
+wavs_audio1525858234971_6_4.wav 35
+wavs_audio1525858308518_1_8.wav 33
+wavs_audio1525858523801_1_6.wav 11
+wavs_audio1525858564931_3_6.wav 20
+wavs_audio1525858794773_5_6.wav 27
+wavs_audio1525858810962_4_3.wav 18
+wavs_audio1525858828556_1_2.wav 15
+wavs_audio1525858847752_1_2.wav 15
+wavs_audio1525858922941_2_3.wav 21
+wavs_audio1525858969580_1_5.wav 17
+wavs_audio1525859017794_1_6.wav 11
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8.log b/exp/asr_stats_raw_en_word/logdir/stats.8.log
new file mode 100644
index 0000000000000000000000000000000000000000..a51a1063500fe4b7850d238b454b36990d94af06
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:33 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=8
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730461
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730461
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=5176
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.8.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.8.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.8 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.8.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.8.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.8 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,019 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,024 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,024 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,024 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,026 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.8/config.yaml
+[r099] 2021-12-21 22:25:09,037 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.8', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.8.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.8.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143473
+# Accounting: end_time=1640143519
+# Accounting: time=46 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.8/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0f0d1a1d29748710714b7ba2c2096f2cb4a4fcad
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.8
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.8.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.8.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.8/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..d423fade4d09b059912f4e715a2e7804aac0481c
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..78ac107bb0b28d64a624c337f09846d89b6120e4
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.8/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.8/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..eea7ed95979d1c872bb14d6a75dba255e0231d00
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/train/speech_shape
@@ -0,0 +1,191 @@
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diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/valid/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..d23405432e908b7e60b1e25904a8df79aba3096f
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/speech_shape
@@ -0,0 +1,24 @@
+wavs_audio1525859047403_1_8.wav 64320
+wavs_audio1525859056282_6_2.wav 75840
+wavs_audio1525859087567_1_6.wav 50880
+wavs_audio1525859105020_5_6.wav 52800
+wavs_audio1525859116705_5_7.wav 59520
+wavs_audio1525859124277_3_5.wav 53760
+wavs_audio1525859126860_2_5.wav 42240
+wavs_audio1525859137083_2_6.wav 57600
+wavs_audio1525859143996_3_7.wav 48000
+wavs_audio1525859161825_6_3.wav 46080
+wavs_audio1525859287365_3_7.wav 63360
+wavs_audio1525859332363_4_1.wav 63360
+wavs_audio1525859360302_2_4.wav 55680
+wavs_audio1525859448307_1_8.wav 79680
+wavs_audio1525859464177_3_5.wav 55680
+wavs_audio1525859469903_6_1.wav 64320
+wavs_audio1525859512629_4_2.wav 57600
+wavs_audio1525859608056_3_1.wav 46080
+wavs_audio1525859617829_3_2.wav 49920
+wavs_audio1525859655736_1_3.wav 53760
+wavs_audio1525859667999_3_8.wav 53760
+wavs_audio1525859710934_3_7.wav 52800
+wavs_audio1525859755772_1_1.wav 97920
+wavs_audio1525859792800_4_5.wav 65280
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/valid/stats_keys b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/stats_keys
new file mode 100644
index 0000000000000000000000000000000000000000..8b395786dbc0bf6d417ffb91823949cfaf8116bc
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/stats_keys
@@ -0,0 +1,2 @@
+feats
+feats_lengths
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.8/valid/text_shape b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/text_shape
new file mode 100644
index 0000000000000000000000000000000000000000..fb6f805229fa81132783c423f8ef296343c2a9b0
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.8/valid/text_shape
@@ -0,0 +1,24 @@
+wavs_audio1525859047403_1_8.wav 33
+wavs_audio1525859056282_6_2.wav 23
+wavs_audio1525859087567_1_6.wav 11
+wavs_audio1525859105020_5_6.wav 27
+wavs_audio1525859116705_5_7.wav 29
+wavs_audio1525859124277_3_5.wav 20
+wavs_audio1525859126860_2_5.wav 14
+wavs_audio1525859137083_2_6.wav 20
+wavs_audio1525859143996_3_7.wav 13
+wavs_audio1525859161825_6_3.wav 33
+wavs_audio1525859287365_3_7.wav 13
+wavs_audio1525859332363_4_1.wav 18
+wavs_audio1525859360302_2_4.wav 21
+wavs_audio1525859448307_1_8.wav 33
+wavs_audio1525859464177_3_5.wav 20
+wavs_audio1525859469903_6_1.wav 21
+wavs_audio1525859512629_4_2.wav 20
+wavs_audio1525859608056_3_1.wav 15
+wavs_audio1525859617829_3_2.wav 13
+wavs_audio1525859655736_1_3.wav 9
+wavs_audio1525859667999_3_8.wav 13
+wavs_audio1525859710934_3_7.wav 13
+wavs_audio1525859755772_1_1.wav 18
+wavs_audio1525859792800_4_5.wav 20
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9.log b/exp/asr_stats_raw_en_word/logdir/stats.9.log
new file mode 100644
index 0000000000000000000000000000000000000000..674945062eec9c4b1f41912d4dabc6846fc3ce25
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.9.log
@@ -0,0 +1,495 @@
+# Running on r099.ib.bridges2.psc.edu
+# Started at Tue Dec 21 22:24:41 EST 2021
+# SLURMD_NODENAME=r099
+# SLURM_ARRAY_JOB_ID=5730432
+# SLURM_ARRAY_TASK_COUNT=32
+# SLURM_ARRAY_TASK_ID=9
+# SLURM_ARRAY_TASK_MAX=32
+# SLURM_ARRAY_TASK_MIN=1
+# SLURM_ARRAY_TASK_STEP=1
+# SLURM_CLUSTER_NAME=bridges2
+# SLURM_CONF=/var/spool/slurm/d/conf-cache/slurm.conf
+# SLURM_CPUS_ON_NODE=1
+# SLURM_EXPORT_ENV=PATH
+# SLURM_GET_USER_ENV=1
+# SLURM_GTIDS=0
+# SLURM_JOBID=5730462
+# SLURM_JOB_ACCOUNT=cis210027p
+# SLURM_JOB_CPUS_PER_NODE=1
+# SLURM_JOB_GID=24886
+# SLURM_JOB_ID=5730462
+# SLURM_JOB_NAME=stats.sh
+# SLURM_JOB_NODELIST=r099
+# SLURM_JOB_NUM_NODES=1
+# SLURM_JOB_PARTITION=RM-shared
+# SLURM_JOB_QOS=rm
+# SLURM_JOB_UID=82326
+# SLURM_JOB_USER=ganesank
+# SLURM_LOCALID=0
+# SLURM_MEM_PER_CPU=2000
+# SLURM_NNODES=1
+# SLURM_NODEID=0
+# SLURM_NODELIST=r099
+# SLURM_NODE_ALIASES='(null)'
+# SLURM_OPEN_MODE=a
+# SLURM_PRIO_PROCESS=0
+# SLURM_PROCID=0
+# SLURM_SUBMIT_DIR=/ocean/projects/cis210027p/ganesank/karthik_new/espnet/egs2/sinhala/asr1
+# SLURM_SUBMIT_HOST=br012.ib.bridges2.psc.edu
+# SLURM_TASKS_PER_NODE=1
+# SLURM_TASK_PID=5592
+# SLURM_TOPOLOGY_ADDR=r099
+# SLURM_TOPOLOGY_ADDR_PATTERN=node
+# SLURM_WORKING_CLUSTER=bridges2:br003:6814:9216:109
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.9.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.9.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.9 --config conf/train_asr.yaml --frontend_conf fs=16k 
+/ocean/projects/cis210027p/ganesank/karthik_new/espnet/tools/venv/bin/python3 /ocean/projects/cis210027p/ganesank/karthik_new/espnet/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel none --token_type word --token_list data/en_token_list/word/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_data_path_and_name_and_type dump/raw/train/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train/text,text,text --valid_data_path_and_name_and_type dump/raw/valid/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/valid/text,text,text --train_shape_file exp/asr_stats_raw_en_word/logdir/train.9.scp --valid_shape_file exp/asr_stats_raw_en_word/logdir/valid.9.scp --output_dir exp/asr_stats_raw_en_word/logdir/stats.9 --config conf/train_asr.yaml --frontend_conf fs=16k
+[r099] 2021-12-21 22:25:08,042 (asr:382) INFO: Vocabulary size: 40
+[r099] 2021-12-21 22:25:09,019 (abs_task:1132) INFO: pytorch.version=1.8.1+cu102, cuda.available=False, cudnn.version=7605, cudnn.benchmark=False, cudnn.deterministic=True
+[r099] 2021-12-21 22:25:09,024 (abs_task:1133) INFO: Model structure:
+ESPnetASRModel(
+  (frontend): DefaultFrontend(
+    (stft): Stft(n_fft=512, win_length=512, hop_length=128, center=True, normalized=False, onesided=True)
+    (frontend): Frontend()
+    (logmel): LogMel(sr=16000, n_fft=512, n_mels=80, fmin=0, fmax=8000.0, htk=False)
+  )
+  (specaug): SpecAug(
+    (time_warp): TimeWarp(window=5, mode=bicubic)
+    (freq_mask): MaskAlongAxis(mask_width_range=[0, 30], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxis(mask_width_range=[0, 40], num_mask=2, axis=time)
+  )
+  (normalize): UtteranceMVN(norm_means=True, norm_vars=False)
+  (encoder): TransformerEncoder(
+    (embed): Conv2dSubsampling(
+      (conv): Sequential(
+        (0): Conv2d(1, 256, kernel_size=(3, 3), stride=(2, 2))
+        (1): ReLU()
+        (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2))
+        (3): ReLU()
+      )
+      (out): Sequential(
+        (0): Linear(in_features=4864, out_features=256, bias=True)
+        (1): PositionalEncoding(
+          (dropout): Dropout(p=0.1, inplace=False)
+        )
+      )
+    )
+    (encoders): MultiSequential(
+      (0): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (6): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (7): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (8): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (9): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (10): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (11): EncoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+  )
+  (decoder): TransformerDecoder(
+    (embed): Sequential(
+      (0): Embedding(40, 256)
+      (1): PositionalEncoding(
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+    (after_norm): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+    (output_layer): Linear(in_features=256, out_features=40, bias=True)
+    (decoders): MultiSequential(
+      (0): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (1): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (2): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (3): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (4): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+      (5): DecoderLayer(
+        (self_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (src_attn): MultiHeadedAttention(
+          (linear_q): Linear(in_features=256, out_features=256, bias=True)
+          (linear_k): Linear(in_features=256, out_features=256, bias=True)
+          (linear_v): Linear(in_features=256, out_features=256, bias=True)
+          (linear_out): Linear(in_features=256, out_features=256, bias=True)
+          (dropout): Dropout(p=0.0, inplace=False)
+        )
+        (feed_forward): PositionwiseFeedForward(
+          (w_1): Linear(in_features=256, out_features=2048, bias=True)
+          (w_2): Linear(in_features=2048, out_features=256, bias=True)
+          (dropout): Dropout(p=0.1, inplace=False)
+          (activation): ReLU()
+        )
+        (norm1): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm2): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (norm3): LayerNorm((256,), eps=1e-12, elementwise_affine=True)
+        (dropout): Dropout(p=0.1, inplace=False)
+      )
+    )
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=40, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 27.12 M
+    Number of trainable parameters: 27.12 M (100.0%)
+    Size: 108.49 MB
+    Type: torch.float32
+[r099] 2021-12-21 22:25:09,024 (abs_task:1136) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    eps: 1e-08
+    initial_lr: 0.0002
+    lr: 8e-09
+    weight_decay: 0
+)
+[r099] 2021-12-21 22:25:09,024 (abs_task:1137) INFO: Scheduler: WarmupLR(warmup_steps=25000)
+[r099] 2021-12-21 22:25:09,027 (abs_task:1146) INFO: Saving the configuration in exp/asr_stats_raw_en_word/logdir/stats.9/config.yaml
+[r099] 2021-12-21 22:25:09,037 (abs_task:1157) INFO: Namespace(config='conf/train_asr.yaml', print_config=False, log_level='INFO', dry_run=False, iterator_type='sequence', output_dir='exp/asr_stats_raw_en_word/logdir/stats.9', ngpu=0, seed=0, num_workers=1, num_att_plot=3, dist_backend='nccl', dist_init_method='env://', dist_world_size=None, dist_rank=None, local_rank=None, dist_master_addr=None, dist_master_port=None, dist_launcher=None, multiprocessing_distributed=False, unused_parameters=False, sharded_ddp=False, cudnn_enabled=True, cudnn_benchmark=False, cudnn_deterministic=True, collect_stats=True, write_collected_feats=False, max_epoch=50, patience=None, val_scheduler_criterion=('valid', 'loss'), early_stopping_criterion=('valid', 'loss', 'min'), best_model_criterion=[('train', 'loss', 'min'), ('valid', 'loss', 'min'), ('train', 'acc', 'max'), ('valid', 'acc', 'max')], keep_nbest_models=5, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, accum_grad=1, no_forward_run=False, resume=False, train_dtype='float32', use_amp=False, log_interval=None, use_tensorboard=True, use_wandb=False, wandb_project=None, wandb_id=None, wandb_entity=None, wandb_name=None, wandb_model_log_interval=-1, detect_anomaly=False, pretrain_path=None, init_param=[], ignore_init_mismatch=False, freeze_param=[], num_iters_per_epoch=None, batch_size=20, valid_batch_size=None, batch_bins=1000000, valid_batch_bins=None, train_shape_file=['exp/asr_stats_raw_en_word/logdir/train.9.scp'], valid_shape_file=['exp/asr_stats_raw_en_word/logdir/valid.9.scp'], batch_type='folded', valid_batch_type=None, fold_length=[], sort_in_batch='descending', sort_batch='descending', multiple_iterator=False, chunk_length=500, chunk_shift_ratio=0.5, num_cache_chunks=1024, train_data_path_and_name_and_type=[('dump/raw/train/wav.scp', 'speech', 'sound'), ('dump/raw/train/text', 'text', 'text')], valid_data_path_and_name_and_type=[('dump/raw/valid/wav.scp', 'speech', 'sound'), ('dump/raw/valid/text', 'text', 'text')], allow_variable_data_keys=False, max_cache_size=0.0, max_cache_fd=32, valid_max_cache_size=None, optim='adam', optim_conf={'lr': 0.0002}, scheduler='warmuplr', scheduler_conf={'warmup_steps': 25000}, token_list=['<blank>', '<unk>', '්', 'න', 'ම', 'ක', 'ල', 'ි', 'ු', 'ග', 'ේ', 'ර', 'ත', 'ද', 'ව', 'ට', 'ඕ', 'ී', 'ප', 'ය', 'ෙ', 'ස', 'ණ', 'ා', 'ැ', 'RequestAcc.balance', 'Moneywithdraw', 'Moneydeposit', 'Moneytransfer', 'Billpayments', 'බ', 'ඉ', 'ශ', 'ෂ', 'ඩ', 'Creditcardpayments', 'එ', '\u200d', 'හ', '<sos/eos>'], init=None, input_size=None, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': True}, model_conf={'ctc_weight': 0.5, 'ignore_id': -1, 'lsm_weight': 0.0, 'length_normalized_loss': False, 'report_cer': True, 'report_wer': True, 'sym_space': '<space>', 'sym_blank': '<blank>', 'extract_feats_in_collect_stats': True}, use_preprocessor=True, token_type='word', bpemodel=None, non_linguistic_symbols=None, cleaner=None, g2p=None, speech_volume_normalize=None, rir_scp=None, rir_apply_prob=1.0, noise_scp=None, noise_apply_prob=1.0, noise_db_range='13_15', frontend='default', frontend_conf={'fs': '16k'}, specaug='specaug', specaug_conf={'apply_time_warp': True, 'time_warp_window': 5, 'time_warp_mode': 'bicubic', 'apply_freq_mask': True, 'freq_mask_width_range': [0, 30], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_range': [0, 40], 'num_time_mask': 2}, normalize='utterance_mvn', normalize_conf={}, preencoder=None, preencoder_conf={}, encoder='transformer', encoder_conf={'output_size': 256, 'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 12, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'attention_dropout_rate': 0.0, 'input_layer': 'conv2d', 'normalize_before': True}, postencoder=None, postencoder_conf={}, decoder='transformer', decoder_conf={'attention_heads': 4, 'linear_units': 2048, 'num_blocks': 6, 'dropout_rate': 0.1, 'positional_dropout_rate': 0.1, 'self_attention_dropout_rate': 0.0, 'src_attention_dropout_rate': 0.0}, required=['output_dir', 'token_list'], version='0.10.3a3', distributed=False)
+# Accounting: begin_time=1640143481
+# Accounting: end_time=1640143519
+# Accounting: time=38 threads=1
+# Finished at Tue Dec 21 22:25:19 EST 2021 with status 0
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9/config.yaml b/exp/asr_stats_raw_en_word/logdir/stats.9/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8b7ca08780d3961892f9f968e7ec7e8ea5695d3e
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.9/config.yaml
@@ -0,0 +1,231 @@
+config: conf/train_asr.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_en_word/logdir/stats.9
+ngpu: 0
+seed: 0
+num_workers: 1
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: null
+dist_rank: null
+local_rank: null
+dist_master_addr: null
+dist_master_port: null
+dist_launcher: null
+multiprocessing_distributed: false
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: true
+write_collected_feats: false
+max_epoch: 50
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - train
+    - loss
+    - min
+-   - valid
+    - loss
+    - min
+-   - train
+    - acc
+    - max
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: false
+train_dtype: float32
+use_amp: false
+log_interval: null
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_en_word/logdir/train.9.scp
+valid_shape_file:
+- exp/asr_stats_raw_en_word/logdir/valid.9.scp
+batch_type: folded
+valid_batch_type: null
+fold_length: []
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/valid/wav.scp
+    - speech
+    - sound
+-   - dump/raw/valid/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0002
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 25000
+token_list:
+- <blank>
+- <unk>
+- ්
+- න
+- ම
+- ක
+- ල
+- ි
+- ු
+- ග
+- ේ
+- ර
+- ත
+- ද
+- ව
+- ට
+- ඕ
+- ී
+- ප
+- ය
+- ෙ
+- ස
+- ණ
+- ා
+- ැ
+- RequestAcc.balance
+- Moneywithdraw
+- Moneydeposit
+- Moneytransfer
+- Billpayments
+- බ
+- ඉ
+- ශ
+- ෂ
+- ඩ
+- Creditcardpayments
+- එ
+- ‍
+- හ
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+model_conf:
+    ctc_weight: 0.5
+    ignore_id: -1
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    report_cer: true
+    report_wer: true
+    sym_space: <space>
+    sym_blank: <blank>
+    extract_feats_in_collect_stats: true
+use_preprocessor: true
+token_type: word
+bpemodel: null
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: specaug
+specaug_conf:
+    apply_time_warp: true
+    time_warp_window: 5
+    time_warp_mode: bicubic
+    apply_freq_mask: true
+    freq_mask_width_range:
+    - 0
+    - 30
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_range:
+    - 0
+    - 40
+    num_time_mask: 2
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+version: 0.10.3a3
+distributed: false
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9/train/batch_keys b/exp/asr_stats_raw_en_word/logdir/stats.9/train/batch_keys
new file mode 100644
index 0000000000000000000000000000000000000000..0b8ac772b1ff198a50c038a34c04b5b8ae186fb3
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.9/train/batch_keys
@@ -0,0 +1,2 @@
+speech
+text
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_lengths_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..96050528e7820dacec4c5bcbc3321abd826602b6
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_lengths_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_stats.npz b/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_stats.npz
new file mode 100644
index 0000000000000000000000000000000000000000..4f7a1202378b75528b8da7c86bb04f788ee50354
Binary files /dev/null and b/exp/asr_stats_raw_en_word/logdir/stats.9/train/feats_stats.npz differ
diff --git a/exp/asr_stats_raw_en_word/logdir/stats.9/train/speech_shape b/exp/asr_stats_raw_en_word/logdir/stats.9/train/speech_shape
new file mode 100644
index 0000000000000000000000000000000000000000..380a05416ed1cf5a31c3266e698a0fdde1621b5e
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/logdir/stats.9/train/speech_shape
@@ -0,0 +1,191 @@
+wavs_audio1526982755363_1_5.wav 61440
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index 0000000000000000000000000000000000000000..3f48a50e48e5377b4a2f019f3284556c5763e012
--- /dev/null
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index 0000000000000000000000000000000000000000..5dd2589fee747501389c5814fa8ecc76364ad71c
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diff --git a/exp/asr_stats_raw_en_word/logdir/valid.8.scp b/exp/asr_stats_raw_en_word/logdir/valid.8.scp
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diff --git a/exp/asr_stats_raw_en_word/logdir/valid.9.scp b/exp/asr_stats_raw_en_word/logdir/valid.9.scp
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diff --git a/exp/asr_stats_raw_en_word/run.sh b/exp/asr_stats_raw_en_word/run.sh
new file mode 100755
index 0000000000000000000000000000000000000000..08f1e41973cd52b916fa1528481d19c3939e519a
--- /dev/null
+++ b/exp/asr_stats_raw_en_word/run.sh
@@ -0,0 +1 @@
+./asr.sh --lang en --ngpu 1 --use_lm false --nbpe 5000 --token_type word --audio_format wav --feats_type raw --max_wav_duration 30 --inference_asr_model valid.acc.ave_5best.pth --asr_config conf/train_asr.yaml --train_set train --valid_set valid --test_sets 'test valid' --stage 10 "$@"; exit $?
diff --git a/exp/asr_stats_raw_en_word/train/feats_lengths_stats.npz b/exp/asr_stats_raw_en_word/train/feats_lengths_stats.npz
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index 0000000000000000000000000000000000000000..3c6e827cbc4d5321ebd0da3fcd233eb21dc488be
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