added asr stats folder

asr_stats_raw_bpe2000_sp/logdir/stats.1.log

@@ -0,0 +1,677 @@
+# python3 -m espnet2.bin.asr_train --collect_stats true --use_preprocessor true --bpemodel data/token_list/bpe_unigram2000/bpe.model --token_type bpe --token_list data/token_list/bpe_unigram2000/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_shape_file exp/asr_stats_raw_bpe2000_sp/logdir/train.1.scp --valid_shape_file exp/asr_stats_raw_bpe2000_sp/logdir/valid.1.scp --output_dir exp/asr_stats_raw_bpe2000_sp/logdir/stats.1 --config conf/train.yaml --frontend_conf fs=16k --train_data_path_and_name_and_type dump/raw/train_sp/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/dev/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train_sp/text,text,text --valid_data_path_and_name_and_type dump/raw/dev/text,text,text 
+# Started at Fri May 12 13:12:20 CST 2023
+#
+/mnt/bd/khassan-volume3/tools/espent_KSC_recipe_test/tools/miniconda/envs/espnet/bin/python3 /mnt/bd/khassan-volume3/tools/espent_KSC_recipe_test/espnet2/bin/asr_train.py --collect_stats true --use_preprocessor true --bpemodel data/token_list/bpe_unigram2000/bpe.model --token_type bpe --token_list data/token_list/bpe_unigram2000/tokens.txt --non_linguistic_symbols none --cleaner none --g2p none --train_shape_file exp/asr_stats_raw_bpe2000_sp/logdir/train.1.scp --valid_shape_file exp/asr_stats_raw_bpe2000_sp/logdir/valid.1.scp --output_dir exp/asr_stats_raw_bpe2000_sp/logdir/stats.1 --config conf/train.yaml --frontend_conf fs=16k --train_data_path_and_name_and_type dump/raw/train_sp/wav.scp,speech,sound --valid_data_path_and_name_and_type dump/raw/dev/wav.scp,speech,sound --train_data_path_and_name_and_type dump/raw/train_sp/text,text,text --valid_data_path_and_name_and_type dump/raw/dev/text,text,text
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:28,839 (asr:500) INFO: Vocabulary size: 2000
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.embed.conv.0.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.embed.conv.2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.embed.out.0.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.0.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,523 (initialize:88) INFO: Initialize encoder.encoders.1.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.1.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.1.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.2.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.3.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.4.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,524 (initialize:88) INFO: Initialize encoder.encoders.5.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.5.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.5.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.6.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.7.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.8.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,525 (initialize:88) INFO: Initialize encoder.encoders.9.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.9.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.10.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.encoders.11.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize encoder.after_norm.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.after_norm.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.output_layer.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,526 (initialize:88) INFO: Initialize decoder.decoders.0.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.1.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.2.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,527 (initialize:88) INFO: Initialize decoder.decoders.3.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.3.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.4.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.self_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.self_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.self_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.self_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.src_attn.linear_q.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.src_attn.linear_k.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.src_attn.linear_v.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.src_attn.linear_out.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.feed_forward.w_1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.feed_forward.w_2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.norm1.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.norm2.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,528 (initialize:88) INFO: Initialize decoder.decoders.5.norm3.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,529 (initialize:88) INFO: Initialize ctc.ctc_lo.bias to zeros
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,563 (abs_task:1201) INFO: pytorch.version=1.13.1, cuda.available=True, cudnn.version=8500, cudnn.benchmark=False, cudnn.deterministic=True
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,568 (abs_task:1202) 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, 27], num_mask=2, axis=freq)
+    (time_mask): MaskAlongAxisVariableMaxWidth(mask_width_ratio_range=[0.0, 0.05], num_mask=10, 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(2000, 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=2000, 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)
+      )
+    )
+  )
+  (criterion_att): LabelSmoothingLoss(
+    (criterion): KLDivLoss()
+  )
+  (ctc): CTC(
+    (ctc_lo): Linear(in_features=256, out_features=2000, bias=True)
+    (ctc_loss): CTCLoss()
+  )
+)
+
+Model summary:
+    Class Name: ESPnetASRModel
+    Total Number of model parameters: 28.63 M
+    Number of trainable parameters: 28.63 M (100.0%)
+    Size: 114.53 MB
+    Type: torch.float32
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,568 (abs_task:1205) INFO: Optimizer:
+Adam (
+Parameter Group 0
+    amsgrad: False
+    betas: (0.9, 0.999)
+    capturable: False
+    differentiable: False
+    eps: 1e-08
+    foreach: None
+    fused: False
+    initial_lr: 0.0001
+    lr: 3.3333333333333334e-09
+    maximize: False
+    weight_decay: 0
+)
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,568 (abs_task:1206) INFO: Scheduler: WarmupLR(warmup_steps=30000)
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,570 (abs_task:1215) INFO: Saving the configuration in exp/asr_stats_raw_bpe2000_sp/logdir/stats.1/config.yaml
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,617 (abs_task:1226) INFO: Namespace(accum_grad=1, allow_variable_data_keys=False, aux_ctc_tasks=[], batch_bins=1000000, batch_size=128, batch_type='folded', best_model_criterion=[['valid', 'acc', 'max']], bpemodel='data/token_list/bpe_unigram2000/bpe.model', chunk_excluded_key_prefixes=[], chunk_length=500, chunk_shift_ratio=0.5, cleaner=None, collect_stats=True, config='conf/train.yaml', create_graph_in_tensorboard=False, ctc_conf={'dropout_rate': 0.0, 'ctc_type': 'builtin', 'reduce': True, 'ignore_nan_grad': None, 'zero_infinity': True}, cudnn_benchmark=False, cudnn_deterministic=True, cudnn_enabled=True, 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}, detect_anomaly=False, dist_backend='nccl', dist_init_method='env://', dist_launcher=None, dist_master_addr=None, dist_master_port=None, dist_rank=None, dist_world_size=None, distributed=False, dry_run=False, early_stopping_criterion=('valid', 'loss', 'min'), 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}, exclude_weight_decay=False, exclude_weight_decay_conf={}, fold_length=[], freeze_param=[], frontend='default', frontend_conf={'fs': '16k'}, g2p=None, grad_clip=5.0, grad_clip_type=2.0, grad_noise=False, ignore_init_mismatch=False, init='xavier_uniform', init_param=[], input_size=None, iterator_type='sequence', joint_net_conf=None, keep_nbest_models=10, local_rank=None, log_interval=None, log_level='INFO', max_cache_fd=32, max_cache_size=0.0, max_epoch=100, model='espnet', model_conf={'ctc_weight': 0.3, 'lsm_weight': 0.1, 'length_normalized_loss': False}, multiple_iterator=False, multiprocessing_distributed=False, nbest_averaging_interval=0, ngpu=0, no_forward_run=False, noise_apply_prob=1.0, noise_db_range='13_15', noise_scp=None, non_linguistic_symbols=None, normalize='utterance_mvn', normalize_conf={}, num_att_plot=3, num_cache_chunks=1024, num_iters_per_epoch=None, num_workers=1, optim='adam', optim_conf={'lr': 0.0001}, output_dir='exp/asr_stats_raw_bpe2000_sp/logdir/stats.1', patience=5, postencoder=None, postencoder_conf={}, preencoder=None, preencoder_conf={}, preprocessor='default', preprocessor_conf={}, pretrain_path=None, print_config=False, required=['output_dir', 'token_list'], resume=False, rir_apply_prob=1.0, rir_scp=None, scheduler='warmuplr', scheduler_conf={'warmup_steps': 30000}, seed=0, sharded_ddp=False, short_noise_thres=0.5, sort_batch='descending', sort_in_batch='descending', 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, 27], 'num_freq_mask': 2, 'apply_time_mask': True, 'time_mask_width_ratio_range': [0.0, 0.05], 'num_time_mask': 10}, speech_volume_normalize=None, token_list=['<blank>', '<unk>', 'н', 'р', 'м', 'у', 'п', 'ға', 'ды', 'ы', 'і', 'т', 'да', 'с', '▁', 'ді', '▁бір', 'й', 'к', 'л', 'ның', 'ге', '▁да', 'ын', 'де', 'ты', '▁де', 'з', 'қа', 'ған', 'е', 'ма', 'ң', 'қ', 'ып', '▁мен', 'мен', 'та', 'ін', '▁ал', 'ке', 'на', 'ғы', 'ген', 'гі', 'сы', '▁деп', 'а', '▁бұл', 'ра', 'ті', 'дың', '▁бар', 'лық', 'дан', 'нің', 'іп', '▁қа', 'те', '▁осы', 'шы', '▁ол', '▁а', '▁екі', 'ына', 'ша', 'са', '▁жүз', 'тың', 'ым', 'ш', 'лар', 'и', 'дық', 'ла', 'лы', '▁ай', '▁ақ', '▁мың', 'іне', 'тар', 'тер', '▁және', 'се', '▁деген', '▁ма', 'ында', 'ба', 'сі', 'ре', 'дар', 'па', 'дің', 'д', '▁жоқ', 'я', 'ия', 'інің', 'ны', '▁сол', 'ден', '▁та', 'тан', 'б', '▁еді', '▁жан', 'нан', '▁о', '▁өз', '▁қара', '▁са', 'дай', '▁он', '▁ба', 'лік', 'ық', '▁жыл', 'лі', '▁қол', '▁үшін', 'тің', 'сын', 'мыз', '▁емес', '▁екен', 'ме', 'ші', 'не', '▁жол', 'лер', '▁не', 'дағы', '▁бас', '▁отыр', '▁адам', 'інде', 'дер', '▁болған', '▁жер', '▁болып', '▁ата', 'о', '▁оның', '▁ел', 'г', '▁қала', '▁со', '▁тұр', '▁ой', '▁с', 'қан', 'тық', '▁ша', 'ының', 'қы', '▁қазақ', 'ов', 'дей', '▁үй', 'ыс', '▁тіл', 'дік', 'ше', '▁көп', '▁күн', '▁жұмыс', '▁керек', 'сіз', 'сыз', 'ыл', 'еді', 'ар', '▁и', '▁құ', '▁өзі', 'за', '▁бала', '▁ке', '▁су', '▁ме', '▁үш', '▁бірақ', 'уға', 'ту', '▁болды', 'ыр', '▁е', '▁өмір', 'ұ', 'ле', 'етін', 'мын', 'кі', '▁жүр', 'ім', 'атын', '▁сөз', '▁ғана', 'тен', '▁жатқан', 'ер', '▁алып', 'ру', '▁тұ', '▁деді', '▁қар', '▁жа', 'ады', '▁енді', '▁ауыл', '▁жас', '▁басқа', '▁қор', 'ан', 'ли', 'сін', '▁бес', 'ж', '▁қазақстан', 'пен', '▁сал', '▁ө', '▁ар', 'ынан', '▁жаңа', '▁тү', '▁ер', 'нен', '▁кө', '▁ас', '▁ә', 'ри', '▁то', '▁болса', '▁соң', 'бай', '▁қай', 'лары', '▁жатыр', '▁көз', 'ә', '▁сен', 'лап', '▁кезде', '▁біз', 'інен', '▁кейін', '▁болады', '▁бұ', 'бе', '▁жылы', '▁к', 'кен', '▁құр', 'ғ', 'ль', '▁ғой', '▁қал', '▁жеті', 'міз', 'тып', 'қты', 'ни', 'ал', 'ай', '▁олар', 'тай', '▁тоғыз', '▁ең', '▁ала', 'ғын', '▁бе', '▁келген', '▁қыз', 'ір', '▁аз', '▁те', '▁па', 'уы', 'май', 'ылған', '▁оны', 'мін', '▁ұ', '▁ат', 'уге', '▁шығар', '▁п', 'тары', '▁ү', 'сына', '▁жай', 'бы', 'бек', 'ымыз', '▁же', '▁қой', '▁қайта', 'ро', 'ақ', '▁жиырма', '▁тағы', 'гер', '▁дейін', 'іл', '▁на', '▁тө', '▁ана', '▁жақсы', '▁ара', '▁қалған', '▁халық', 'х', '▁қалды', '▁әр', 'ік', 'тік', 'іміз', '▁тек', '▁қазір', '▁қос', 'лан', 'ымен', '▁жаз', 'тын', '▁төрт', 'ти', 'дегі', '▁кү', '▁көрсет', '▁қызмет', '▁жұ', '▁менің', '▁біл', '▁бер', 'ек', '▁жағдай', 'нда', 'он', 'рт', 'лардың', 'іс', 'ө', 'ні', '▁ау', '▁бойынша', '▁кел', '▁алды', 'ф', 'лады', '▁айт', '▁туралы', 'лған', 'сының', '▁үлкен', '▁өте', '▁келе', 'сында', '▁пен', 'ю', 'ен', '▁тұрған', '▁бет', '▁бай', '▁бәрі', 'йды', '▁се', '▁жүрген', '▁ту', '▁көр', '▁бері', 'мақ', 'стан', '▁бірі', '▁күй', '▁дейді', 'лері', '▁келеді', 'ылып', '▁ше', '▁г', 'лып', 'сың', '▁істе', '▁орта', '▁ақын', '▁келіп', '▁біздің', 'ди', '▁қарай', 'ор', 'дары', '▁ті', '▁алмай', '▁уақыт', '▁ш', 'йтын', '▁дүние', '▁қи', 'тері', '▁ко', 'пай', 'ры', 'ат', '▁сала', 'лен', 'ст', '▁кеткен', 'ындағы', '▁кетті', 'тты', '▁жаса', 'лігі', 'жа', 'сің', '▁әлем', '▁бірінші', 'лығы', 'дері', '▁ка', '▁бо', '▁мұ', '▁алған', '▁э', '▁күні', '▁т', '▁жар', '▁көк', '▁өлең', 'лды', 'імен', '▁іс', 'ымды', '▁жерде', '▁сұра', '▁екінші', '▁өзге', '▁у', '▁болатын', 'тау', '▁бөл', 'ет', '▁кір', 'рек', 'ка', 'лау', '▁сіз', 'кті', '▁жү', '▁алты', '▁абай', 'лас', 'тор', '▁кеш', '▁шын', 'лай', '▁өткен', 'ман', '▁әйел', '▁отырған', '▁оған', 'ылды', 'ч', '▁пе', '▁ұлы', 'ыш', '▁болма', 'жан', '▁облыс', '▁шо', '▁жал', '▁қалай', '▁түс', '▁аудан', '▁әлі', '▁мына', '▁олардың', 'ция', 'тін', 'в', 'ңыз', 'ің', '▁рет', '▁сондықтан', '▁мемлекет', '▁ішінде', '▁тә', '▁өр', 'ың', 'қын', 'ми', '▁тау', 'мей', '▁қатар', '▁кез', '▁жара', 'імді', '▁аға', '▁сана', '▁дә', '▁си', '▁өнер', '▁сегіз', 'кер', 'ев', '▁би', '▁келді', '▁қаз', '▁әрі', '▁отыз', 'сып', '▁жұрт', '▁тарт', '▁жо', '▁кісі', '▁жат', '▁по', '▁балалар', '▁әке', '▁жау', '▁кітап', 'шылық', '▁пайда', '▁сыр', 'ь', '▁күл', '▁жина', '▁қы', '▁берді', 'ика', 'сті', '▁нұр', '▁білім', '▁іш', '▁шыққан', '▁арқылы', 'ло', '▁ре', '▁қарсы', '▁әдебиет', '▁көңіл', 'сіне', 'дап', 'ү', '▁ми', '▁тара', '▁ет', '▁сер', '▁таста', '▁ки', '▁оқу', '▁шығарма', 'тардың', '▁сүй', '▁ж', 'хан', '▁д', 'сіп', '▁маған', '▁тап', '▁көзі', '▁мүмкін', '▁заң', 'дым', '▁түр', '▁сияқты', '▁кім', '▁ғылым', '▁өл', '▁шал', '▁айтып', 'дардың', '▁бұрын', '▁ұлттық', '▁сөйле', '▁дәл', '▁ұш', '▁жыр', '▁бойы', '▁жібер', '▁айта', '▁ти', '▁айтқан', '▁әңгіме', '▁есе', 'тті', '▁баға', '▁осындай', 'маған', '▁біреу', '▁өзен', '▁арт', '▁мо', '▁бүгін', 'ріп', 'латын', 'ушы', '▁заман', 'бір', '▁сын', '▁хан', '▁түн', '▁таң', '▁апа', '▁ди', '▁барлық', 'іңіз', '▁тіпті', '▁басты', '▁қан', '▁ра', '▁з', '▁үн', 'ха', '▁шақыр', '▁ән', '▁сондай', 'лердің', '▁қырық', '▁сау', '▁жоғары', '▁мақсат', '▁ұр', 'сынан', '▁берген', '▁байқа', 'ғына', '▁ұста', '▁қыр', 'тқан', '▁қо', 'то', '▁бол', '▁кең', 'рып', 'ыра', '▁ая', '▁қандай', '▁жы', '▁қарап', '▁жігіт', '▁оқы', 'ыңыз', '▁есті', 'тал', '▁күш', 'э', '▁екенін', '▁еңбек', '▁ерекше', 'дігі', '▁бола', '▁шар', '▁біле', '▁әлде', '▁мә', '▁адамдар', '▁сы', 'лді', '▁ха', 'же', 'леді', '▁таны', '▁тоқта', 'ларды', 'уі', '▁мү', '▁елу', '▁б', '▁мектеп', '▁қу', 'ларын', 'тіп', '▁етіп', '▁сонда', '▁сырт', '▁тиіс', '▁аш', '▁ізде', '▁сай', '▁одан', '▁кеңес', '▁жеткіз', '▁мемлекеттік', '▁қажет', 'ва', '▁дос', 'мек', '▁жөн', '▁жауап', 'баев', '▁іл', '▁алматы', 'леп', '▁тал', 'сақ', '▁орын', 'нде', '▁себебі', '▁жалпы', '���жоба', '▁көрген', '▁негіз', '▁қам', '▁бара', 'си', 'рап', '▁қазіргі', '▁соңғы', '▁шығып', 'ғым', '▁алу', 'тас', '▁барып', '▁кезінде', 'лу', '▁бө', '▁қыл', 'ілген', '▁тас', '▁өткіз', '▁қабылда', '▁қатты', '▁саны', '▁бере', 'ғыз', '▁бірге', '▁топ', 'тығы', '▁қыс', 'ңіз', '▁басшысы', '▁ес', '▁м', '▁байланысты', '▁жазушы', 'ол', '▁түсі', '▁ие', '▁қоя', 'бі', 'лес', '▁жары', 'ұр', '▁немесе', '▁бірнеше', 'ұлы', '▁бастап', 'тердің', '▁беру', '▁береді', '▁жолы', 'лаған', '▁әл', 'су', 'тап', '▁өзін', '▁мал', '▁мұндай', '▁тоқсан', 'тпе', '▁алады', '▁ем', 'тарын', '▁туған', '▁түрлі', '▁бу', '▁әуе', 'дығы', '▁өт', '▁орналасқан', '▁қайт', '▁бұр', '▁болар', '▁қолдан', 'би', '▁тол', 'зе', '▁қиын', '▁ауыр', '▁жастар', 'икалық', '▁жалғыз', '▁атқа', '▁табы', '▁шықты', 'тағы', '▁сез', '▁оң', '▁әлеуметті', '▁аң', '▁орында', '▁жеке', 'майды', 'сек', '▁көріп', '▁тапсыр', '▁қызы', 'шылар', '▁аудар', '▁өйткені', '▁салып', 'жы', '▁хабар', '▁сан', '▁отбасы', '▁анықта', '▁түскен', '▁боп', '▁ин', 'қай', '▁еске', '▁мені', '▁онда', '▁таба', '▁көрін', '▁бә', '▁алғашқы', '▁аты', '▁түсін', '▁таңда', 'быр', '▁құла', '▁теңге', 'ылады', '▁дү', 'ко', '▁белгі', '▁түсті', 'індегі', '▁егер', 'ци', '▁за', '▁оқиға', '▁бастады', '▁жағы', '▁алпыс', '▁жете', 'дарын', '▁ретінде', '▁қоғам', '▁арнайы', '▁адамның', '▁сонымен', '▁беріп', '▁сайын', '▁гүл', 'йді', '▁алдында', 'тегі', 'ғанда', 'во', 'зи', 'ларға', 'рат', '▁арман', 'тарды', '▁дала', '▁ақыл', 'еу', 'но', '▁отырып', '▁бек', '▁еш', '▁қанша', 'терін', '▁аман', '▁құра', '▁өңір', '▁түсіп', '▁қалып', '▁сый', '▁өзім', '▁сезім', '▁орыс', '▁жүріп', '▁айтты', '▁тұрып', '▁екеуі', '▁әй', '▁бей', 'хана', 'саң', '▁есі', 'бо', '▁сурет', '▁сақта', 'улы', '▁бастал', '▁кете', '▁бал', '▁аса', 'дердің', '▁жақ', 'пақ', 'ви', '▁белгілі', '▁қызыл', '▁десе', '▁әкім', '▁сүр', '▁май', '▁до', '▁алайда', 'сем', '▁ақша', '▁бү', 'ве', 'егін', 'йтін', 'лек', 'га', '▁содан', '▁төмен', 'ау', 'сқан', '▁дұрыс', '▁астана', '▁қон', '▁тір', '▁халқы', '▁сү', '▁республика', '▁міне', '▁кеше', '▁түрі', '▁міндет', 'лген', '▁төле', '▁батыр', 'теп', '▁көш', '▁биыл', '▁жи', '▁ф', '▁орны', '▁мамандар', '▁мән', '▁өздері', '▁сә', '▁үкімет', '▁бақ', 'бен', 'іш', '▁неге', 'майтын', '▁қаржы', '▁жүрегі', '▁арасында', 'пей', '▁аяқ', '▁соғыс', '▁құдай', '▁ойын', 'тей', '▁жел', 'терді', '▁жасы', '▁дауыс', '▁әзір', '▁ары', '▁бақыт', '▁әб', 'аралық', '▁жең', '▁шара', '▁баласы', '▁едім', '▁шыға', '▁біт', '▁орталық', '▁өзіне', 'мет', '▁ы', '▁адамды', '▁сексен', '▁ла', '▁ұлт', '▁болуы', '▁жап', '▁президент', '▁толық', 'сам', 'ова', '▁шай', '▁қайда', '▁барлығы', '▁шеш', 'лей', '▁көре', 'ілді', '▁уақытта', '▁миллион', 'мейді', 'ліп', '▁күнде', '▁азамат', 'бет', '▁жетпіс', 'це', '▁от', '▁ешкім', 'ация', '▁көбі', 'леу', '▁есім', '▁алтын', '▁секілді', '▁бой', 'ткен', '▁пікір', '▁қатысты', '▁шығыс', 'ушылар', 'ист', '▁өзің', '▁кетіп', '▁көмек', '▁тер', '▁ұл', '▁құл', '▁көше', '▁бәрін', '▁нәрсе', 'бер', '▁жақын', '▁мар', '▁тұра', '▁сары', '▁соның', '▁қаш', 'қыр', '▁себеп', '▁шеше', '▁бүгінгі', '▁таза', '▁шыр', 'іліп', 'деу', '▁көлік', '▁хат', 'даған', '▁арна', 'лерін', '▁яғ', '▁жаға', '▁жарық', '▁деңгей', '▁шаруа', '▁жерге', 'дім', 'меген', 'бас', 'ки', '▁темір', '▁болу', '▁асыр', '▁үстіне', 'шақ', '▁сәт', '▁әсер', 'дерін', '▁атты', '▁бейне', '▁мұра', '▁қасиет', '▁тар', '▁автор', '▁үшінші', '▁бауыр', '▁қазақтың', '▁мол', '▁өтті', '▁білдір', 'спе', '▁ете', '▁алыс', '▁орталығы', '▁кейбір', '▁бөлім', '▁х', '▁мәселе', '▁ірі', '▁қытай', '▁бұған', 'тарға', '▁ан', 'ц', '▁зе', '▁фа', '▁километр', '▁астам', '▁маман', '▁дәрігер', '▁кем', '▁жүрек', '▁қойды', '▁мекен', '▁сағат', 'шілер', '▁көрме', '▁тұрғындар', '▁ғасыр', '▁орал', 'лықтар', '▁ит', 'бей', 'ланып', 'дарды', 'гілікті', '▁мәдениет', '▁ойна', 'до', 'ология', '▁елдің', '▁жалға', '▁шө', '▁қасым', '▁даму', '▁ақпарат', '▁ресей', 'лігін', '▁жоспар', '▁басы', 'го', '▁облысы', '▁талай', '▁ва', '▁жә', 'ланған', 'лығын', '▁мұны', 'лықты', '▁қана', '▁айнала', '▁мұнда', '▁әлгі', '▁көтеріл', '▁кезең', '▁біраз', 'ейін', '▁сенің', '▁биік', '▁алаң', '▁құрылыс', '▁аяғы', '▁басып', '▁тарих', '▁келтір', '▁ора', '▁қауіп', '▁ұсын', 'шілік', '▁бұрынғы', '▁сүйе', '▁кен', '▁ұзақ', '▁әрине', '▁ұмыт', '▁ұя', '▁аузы', '▁жағына', 'сындағы', '▁тоғызыншы', '▁басын', '▁жылдан', '▁қап', 'деп', '▁жеткен', '▁ерте', 'уына', '▁талап', '▁ашыл', '▁ауыз', 'ілде', '▁бел', '▁бүтін', '▁қойған', '▁осылай', '▁әсіресе', '▁тын', 'уші', '▁көрді', 'лерге', '▁білмей', '▁шық', '▁қонақ', 'гіне', '▁тай', '▁қас', '▁той', '▁кон', 'иялық', '▁тағдыр', '▁құс', '▁арқа', '▁кеп', '▁негізгі', '▁жаман', '▁тұлға', '▁бөлме', '▁ұйымдастыр', '▁зор', '▁іске', '▁мүмкіндік', 'изм', 'һ', '▁дене', '▁әкел', '▁үміт', '▁қуан', '▁болмаса', '▁бүкіл', '▁сенім', '▁жатты', '▁рас', '▁төбе', '▁етті', 'лерді', '▁ши', '▁терең', 'тігін', '▁тәрбие', 'кір', '▁тұрады', 'сінде', '▁про', '▁сө', '▁но', '▁елбасы', '▁шешім', '▁сәл', '▁арналған', '▁құжат', 'тады', '▁құй', '▁жаза', 'қыл', '▁жазу', '▁маңызды', '▁жасау', '▁түрде', 'сінің', '▁спорт', '▁ли', '▁кә', '▁көл', '▁үйге', 'дерді', '▁зерттеу', '▁өтіп', '▁ішкі', '▁орнына', '▁отан', '▁әкесі', '▁бізге', '▁мін', '▁қалыптас', '▁кетеді', '▁еткен', '▁еле', '▁болсын', '▁алатын', '▁іші', '▁мұң', '▁басым', '▁тез', 'ыңды', '▁батыс', '▁жұмыстары', '▁ертең', 'айын', 'шыл', '▁пә', '▁көптеген', '▁тұрғындары', '▁әрекет', 'тырып', '▁алмас', 'хи', '▁үйрен', 'імде', '▁із', '▁елдер', '▁аспан', '▁шама', '▁тең', '▁сөздер', '▁ақыры', '▁бастаған', '▁оқып', 'жай', '▁нақты', '▁жу', '▁көркем', '▁тыңда', 'жи', 'дығын', '▁дегенмен', 'қтап', 'шысы', '▁мінез', '▁мақта', '▁теңіз', '▁жиі', '▁сауда', '▁сені', '▁ауа', 'фи', '▁тұратын', 'сар', '▁азаматтар', '▁әрбір', '▁рухани', '▁қаласы', '▁жасап', '▁күз', '▁сөзін', '▁сақ', '▁айналды', '▁жазып', '▁қалың', '▁қызық', '▁фо', '▁ету', '▁қойып', '▁әдет', '▁дәстүр', '▁жеңіл', '▁қысқа', '▁жазған', '▁университет', '▁кәсіпкер', '▁шаралар', '▁барады', '▁жайлы', 'инг', '▁бөлек', '▁жылдары', '▁төртінші', '▁шетел', '▁ауру', '▁ашық', '▁қарасты', '▁ағаш', '▁билік', '▁құрал', '▁жүйе', '▁есік', '▁республикасының', '▁басына', '▁бесінші', '▁қойма', '▁артық', '▁иә', 'асты', 'дырып', '▁табыс', '▁кейде', '▁студент', '▁күр', '▁ұйым', '▁таныс', '▁компания', '▁келетін', '▁шет', '▁жатады', '▁дайында', 'мейтін', '▁қоса', '▁киім', 'іңді', '��мәселелер', '▁жүзеге', '▁шу', '▁өнім', '▁үлгі', '▁желі', '▁жұмса', '▁сұлтан', '▁тауып', '▁анық', '▁кіріс', '▁ұзын', '▁еркін', '▁енгіз', '▁жомарт', '▁қуаныш', '▁тартып', '▁ұстап', '▁қайыр', '▁жақта', '▁жетінші', '▁дін', '▁ұқса', '▁қатынас', '▁кар', '▁мұның', '▁өкілдері', '▁президенті', '▁мыс', '▁болмайды', '▁жарияла', '▁халықтың', '▁қалады', '▁бітір', '▁пайыз', '▁сегізінші', '▁оқ', '▁аралас', 'дарының', '▁алдына', '▁құрмет', '▁алтыншы', '▁сапар', '▁тарихи', '▁жарты', '▁солтүстік', '▁зар', '▁жуық', '▁баян', '▁айтады', 'ымның', '▁қолдау', '▁назар', '▁үйде', '▁оңтүстік', '▁ду', '▁роман', '▁шағын', '▁тым', '▁тобы', '▁мекеме', '▁шың', '▁фи', '▁дайын', '▁тәуелсіз', '▁сот', '▁елді', '▁күнге', '▁жүгір', '▁тура', 'құл', '▁алғаш', '▁солай', '▁былай', '▁кезек', '▁жақында', '▁иесі', '▁аумағы', 'қо', '▁махаббат', '▁апта', '▁беретін', '▁мынау', '▁бөлігі', '▁болашақ', '▁шебер', '▁тұрғыны', '▁жылғы', '▁жылдар', '▁тұрақты', '▁алдымен', '▁саяси', '▁саған', '▁сабақ', '▁күрес', '▁әскер', '▁бос', '▁тән', 'лайды', 'қтары', '▁айту', '▁сұлу', '▁оқырман', '▁нә', 'луы', '▁үстінде', '▁ашу', '▁мәлім', '▁бағытта', '▁бұлар', '▁келгенде', '▁ашып', '▁арасындағы', '▁табиғат', '▁көңілі', '▁өң', '▁қоғамдық', '▁патша', '▁медицина', '▁тірі', '▁орган', '▁дәрі', '▁қайғы', '▁бүгінде', '▁жүргізу', '▁қағаз', '▁ұрпақ', '▁ви', '▁сұрақ', '▁есепте', 'скен', '▁сәуле', '▁елімізде', '▁партия', '▁түсінді', '▁сәтте', '▁ауыс', '▁жасаған', '▁кеме', '▁аула', '▁шақ', '▁газет', '▁бағыт', '▁келіс', '▁айтпа', '▁алмады', '▁етеді', '▁еуропа', '▁саясат', '▁техника', '▁ыр', '▁байланыс', '▁шығады', '▁көрінеді', '▁биле', '▁тырыс', '▁кетпе', '▁жұма', '▁мәселен', '▁соны', '▁жасалған', '▁теле', '▁анасы', '▁бізде', '▁сақтау', '▁шекте', '▁ештеңе', '▁көлемі', '▁бағдарлама', '▁қоз', '▁құрайды', '▁жұлдыз', '▁түбі', '▁сосын', '▁әскери', '▁ру', '▁министр', '▁саты', '▁орынбасары', '▁мысалы', '▁жатып', '▁істер', '▁басында', '▁экономикалық', '▁толы', '▁жөнел', '▁дамыту', '▁жөнінде', '▁қанат', '▁жиын', '▁орай', '▁қылмыс', '▁салған', '▁әбден', '▁қожа', '▁қазақстандық', '▁көбей', '▁қоңыр', '▁тамақ', '▁тоқаев', '▁театр', '▁туынды', '▁жетті', '▁оңай', '▁сөйтіп', '▁келісім', '▁үзі', '▁аймақта', '▁метр', '▁мүлде', '▁әділ', '▁сайлау', '▁мұғалім', '▁сағын', '▁кіріп', '▁жүйесі', '▁тәжірибе', '▁әже', '▁журналист', '▁кино', '▁асыл', '▁кіші', '▁білген', '▁ескі', '▁қауым', '▁туыс', '▁ұстаз', '▁нысан', '▁үлес', '▁кей', '▁қаласында', '▁көктем', '▁қатысу', '▁жазылған', '▁жылқы', '▁ойлап', '▁үйіне', '▁келесі', '▁боса', '▁тыныш', '▁жіберді', '▁өлім', '▁амал', '▁көші', '▁қажетті', '▁жаққа', '▁шаруашылығы', '▁бағы', '▁оқи', '▁фильм', '▁өзіміз', 'фа', '▁дейтін', 'ья', '▁министрі', '▁қызметкерлер', '▁мәңгі', '▁бақылау', '▁тарихы', '▁кездесу', '▁аталған', '▁көтеріп', '▁тапқан', '▁төрағасы', '▁еліміздің', '▁адамдардың', '▁түйі', '▁тұңғыш', '▁шығу', '▁үздік', '▁орнат', '▁дамы', '▁мырза', '▁аясында', '▁айтуынша', '▁тақырып', '▁ұза', '▁сәйкес', '▁мереке', '▁тұрмыс', '▁назарбаев', '▁ве', '▁сына', 'ығып', '▁қарағанда', '▁түседі', '▁миллиард', 'екең', '▁жоғал', '▁мәселесі', '▁институт', '▁кішкентай', '▁экономика', '▁сіздің', '▁жанар', '▁еңбегі', '▁бағдарламасы', '▁аттан', '▁бермей', 'ыңа', '▁талқыла', '▁айналып', '▁өзгеріс', '▁қыздар', '▁көрші', '▁аурухана', '▁келсе', '▁жерлер', '▁мақала', '▁аяқтал', '▁қашан', '▁соғ', '▁иіс', '▁қалпы', '▁айналыс', '▁ыстық', '▁нәтиже', '▁керемет', '▁осылайша', '▁жігіттер', '▁білетін', '▁мағына', '▁түгел', '▁қуат', '▁өндіріс', '▁ерік', '▁поэзия', '▁дыбыс', '▁қамтамасыз', '▁ішіне', '▁кейіпкер', '▁шә', '▁адал', '▁га', '▁тамаша', '▁депутат', '▁кесі', '▁арқасында', '▁айқын', '▁полиция', '▁мәрте', '▁қош', '▁хо', '▁баяғы', '▁аңғар', '▁банк', '▁дәуір', '▁машина', '▁құнды', '▁сипат', '▁нұрсұлтан', '▁ешқандай', '▁ұшыра', '▁пәтер', '▁әдеби', '▁газ', '▁өлтір', '▁тәрізді', '▁тегін', '▁айырыл', '▁музыка', '▁қымбат', '▁жаңғыр', '▁авто', '▁көрініс', '▁қабырға', '▁бастама', 'қызы', '▁орындары', '▁өскен', '▁терезе', '▁қарапайым', '▁басқармасы', '▁қабат', '▁ойлан', '▁телефон', '▁қаламгер', '▁әдіс', '▁әдемі', '▁жүргізіл', '▁астында', '▁берілген', '▁барысында', '▁тыс', '▁шыда', '▁көпшілік', '▁кітабы', '▁кеуде', '▁бизнес', '▁округі', '▁кәрі', '▁қою', '▁құлағы', '▁тіршілік', '▁түркістан', '▁түркі', '▁ғалымдар', '▁кемпір', '▁ауданында', '▁директоры', '▁әкімшілік', '▁өкіл', '▁әнші', '▁нәтижесін', '▁қақпа', '▁құтқар', '▁әмір', '▁ғұмыр', '▁даусы', '▁шү', '▁түсінік', '▁ұғым', '▁күшей', '▁мұнай', '▁қимыл', '▁ғалым', '▁ұйқы', '▁кері', 'ылдап', '▁комитет', '▁қашықтықта', '▁наурыз', '▁технология', '▁ірге', '▁күтіп', '▁министрлігі', '▁белсенді', '▁елорда', '▁ұмтыл', '▁мүмкіндігі', '▁сонша', '▁ниет', '▁жалғасты', 'дырған', '▁заттар', '▁нұсқа', 'гүл', '▁мықты', 'тивті', '▁сәби', '▁тәртіп', '▁түзе', '▁мәліметтер', '▁шекара', '▁тиімді', '▁теріс', '▁муниципалитет', '▁асқар', '▁сыйла', '▁ақындар', '▁ғимарат', '▁сахна', '▁ұсыныс', '▁тамыр', '▁тұста', '▁зертте', '▁денсаулық', '▁әйтеуір', '▁тікелей', '▁рөл', '▁орман', '▁қозғал', '▁бойында', '▁іні', '▁америка', '▁қосымша', '▁идея', '▁екеуміз', '▁пайдалану', '▁өндір', '▁материал', '▁кәсіпорын', '▁мойында', '▁рух', '▁кенет', '▁бюджет', '▁ағылшын', '▁науқас', '▁кінә', '▁салынған', '▁құқық', '▁сарай', 'ейік', '▁былтыр', '▁ұйықта', '▁айналған', '▁оқушылар', '▁ойлаймын', '▁қозғалыс', '▁түйе', '▁ресми', '▁қырғыз', '▁рұқсат', '▁қарағанды', '▁қадам', '▁шамасында', '▁маусым', '▁адамзат', '▁жетекші', '▁ағайын', '▁мәдени', '▁мәскеу', '▁ахмет', '▁өсір', '▁үнемі', '▁орналас', '▁төтенше', '▁жәрдем', '▁маңдай', '▁жоғарғы', '▁астына', '▁бірқатар', '▁академия', '▁қабілет', '▁тигіз', '▁шығын', '▁көмектес', '▁талант', '▁жеміс', '▁домбыра', '▁мөлшер', '▁сағасы', '▁электр', '▁кәсіп', '▁көзқарас', '▁процес', '▁жаңбыр', '▁құтыл', '▁деймін', '▁зауыт', '▁еркек', '▁құбылыс', '▁дәреже', '▁ғалам', '▁бастайды', '▁қорытынды', '▁бейбіт', '▁қасқыр', '▁тіркел', '▁базар', '▁парламент', 'олог', '▁ешқашан', '▁чемпион', '▁германия', '▁мәжіліс', '▁табиғи', '▁өкініш', '▁қаражат', '▁тұрғыда', '▁жағалауынан', '▁жетпей', '▁алғыс', '▁шынайы', 'ский', '▁тонна', '���күрделі', '▁топырақ', '▁жедел', '▁лайық', '▁доллар', '▁райы', '▁экс', '▁риза', '▁ажыра', '▁деректер', '▁комиссия', 'ъ', '▁коронавирус', '▁тәсіл', '▁сапасы', '▁танымал', '▁өтініш', '▁намыс', '▁журнал', '▁шаһар', '▁дөң', '▁көрермен', '▁демалыс', '▁салыстыр', '▁қайраткер', '▁тәңір', '▁өкпе', '▁оян', '▁көмегі', '▁мезгіл', '▁форма', '▁жамбыл', '▁штат', '▁одақ', '▁болмыс', '▁жабыл', '▁насихат', '▁ыңғай', '▁ғашық', '▁қараңғы', '▁бірдеңе', '▁тарапынан', '▁тергеу', '▁минут', '▁әріптес', '▁мерзім', '▁қамқор', '▁ендеше', '▁тексері', '▁бұйыр', '▁жапырақ', '▁көрсеткіш', '▁құрамында', '▁мойны', '▁департаменті', '▁премьер', '▁футбол', '▁сіңір', '▁мүшесі', 'щ', '▁көпбалалы', '▁ереже', '▁мектебі', '▁ықпал', '▁кедергі', 'дәулет', '▁құрамына', '▁қауіпсіздік', 'аяқ', '▁өсімдік', 'ё', '<sos/eos>'], token_type='bpe', train_data_path_and_name_and_type=[('dump/raw/train_sp/wav.scp', 'speech', 'sound'), ('dump/raw/train_sp/text', 'text', 'text')], train_dtype='float32', train_shape_file=['exp/asr_stats_raw_bpe2000_sp/logdir/train.1.scp'], unused_parameters=False, use_amp=True, use_matplotlib=True, use_preprocessor=True, use_tensorboard=True, use_wandb=False, val_scheduler_criterion=('valid', 'loss'), valid_batch_bins=None, valid_batch_size=None, valid_batch_type=None, valid_data_path_and_name_and_type=[('dump/raw/dev/wav.scp', 'speech', 'sound'), ('dump/raw/dev/text', 'text', 'text')], valid_max_cache_size=None, valid_shape_file=['exp/asr_stats_raw_bpe2000_sp/logdir/valid.1.scp'], version='202304', wandb_entity=None, wandb_id=None, wandb_model_log_interval=-1, wandb_name=None, wandb_project=None, write_collected_feats=False)
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,803 (asr:471) INFO: Optional Data Names: ('text_spk2', 'text_spk3', 'text_spk4')
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:12:29,823 (asr:471) INFO: Optional Data Names: ('text_spk2', 'text_spk3', 'text_spk4')
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:16:49,549 (collect_stats:107) INFO: Niter: 100
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:21:22,516 (collect_stats:107) INFO: Niter: 200
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:25:30,003 (collect_stats:107) INFO: Niter: 300
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:29:36,879 (collect_stats:107) INFO: Niter: 400
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:33:35,571 (collect_stats:107) INFO: Niter: 500
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:37:24,160 (collect_stats:107) INFO: Niter: 600
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:41:13,172 (collect_stats:107) INFO: Niter: 700
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:44:46,295 (collect_stats:107) INFO: Niter: 800
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:48:15,175 (collect_stats:107) INFO: Niter: 900
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:51:59,969 (collect_stats:107) INFO: Niter: 1000
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:52:51,717 (preprocessor:336) WARNING: The length of the text output exceeds 100, which may cause OOM on the GPU.Please ensure that the data processing is correct and verify it.
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:56:00,377 (collect_stats:107) INFO: Niter: 1100
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 13:59:57,946 (collect_stats:107) INFO: Niter: 1200
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:05:03,411 (collect_stats:107) INFO: Niter: 1300
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:09:46,755 (collect_stats:107) INFO: Niter: 1400
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:14:08,451 (collect_stats:107) INFO: Niter: 1500
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:18:21,971 (collect_stats:107) INFO: Niter: 1600
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:22:22,231 (collect_stats:107) INFO: Niter: 1700
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:26:18,394 (collect_stats:107) INFO: Niter: 1800
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:30:18,387 (collect_stats:107) INFO: Niter: 1900
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:34:13,006 (collect_stats:107) INFO: Niter: 2000
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:38:13,910 (collect_stats:107) INFO: Niter: 2100
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:41:22,834 (preprocessor:336) WARNING: The length of the text output exceeds 100, which may cause OOM on the GPU.Please ensure that the data processing is correct and verify it.
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:42:42,797 (collect_stats:107) INFO: Niter: 2200
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:47:01,489 (collect_stats:107) INFO: Niter: 2300
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:50:42,055 (collect_stats:107) INFO: Niter: 2400
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:54:36,834 (collect_stats:107) INFO: Niter: 2500
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 14:58:06,106 (collect_stats:107) INFO: Niter: 2600
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:01:39,637 (collect_stats:107) INFO: Niter: 2700
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:05:09,506 (collect_stats:107) INFO: Niter: 2800
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:08:35,702 (collect_stats:107) INFO: Niter: 2900
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:12:06,380 (collect_stats:107) INFO: Niter: 3000
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:15:36,267 (collect_stats:107) INFO: Niter: 3100
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:18:59,110 (collect_stats:107) INFO: Niter: 3200
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:22:30,986 (collect_stats:107) INFO: Niter: 3300
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:23:18,906 (preprocessor:336) WARNING: The length of the text output exceeds 100, which may cause OOM on the GPU.Please ensure that the data processing is correct and verify it.
+[mlxlabq1l19yow63f8475a-20230224051258-1mabjw-np2rqw-worker] 2023-05-12 15:26:13,081 (collect_stats:107) INFO: Niter: 3400
+# Accounting: time=8200 threads=1
+# Ended (code 0) at Fri May 12 15:29:00 CST 2023, elapsed time 8200 seconds

asr_stats_raw_bpe2000_sp/logdir/stats.1/config.yaml

@@ -0,0 +1,2189 @@
+config: conf/train.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_stats_raw_bpe2000_sp/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: 100
+patience: 5
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 10
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+- ілді
+- ▁уақытта
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+- ▁бұйыр
+- ▁жапырақ
+- ▁көрсеткіш
+- ▁құрамында
+- ▁мойны
+- ▁департаменті
+- ▁премьер
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+- щ
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+- ▁ықпал
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+- дәулет
+- ▁құрамына
+- ▁қауіпсіздік
+- аяқ
+- ▁өсімдік
+- ё
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: null
+    zero_infinity: true
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/token_list/bpe_unigram2000/bpe.model
+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'
+short_noise_thres: 0.5
+aux_ctc_tasks: []
+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
+    - 27
+    num_freq_mask: 2
+    apply_time_mask: true
+    time_mask_width_ratio_range:
+    - 0.0
+    - 0.05
+    num_time_mask: 10
+normalize: utterance_mvn
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+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
+preprocessor: default
+preprocessor_conf: {}
+required:
+- output_dir
+- token_list
+version: '202304'
+distributed: false

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asr_stats_raw_bpe2000_sp/run.sh

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