Training in progress, step 1500

.gitattributes

@@ -26,3 +26,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 wandb/run-20220302_094439-2kys49al/run-2kys49al.wandb filter=lfs diff=lfs merge=lfs -text
+wandb/run-20220302_132803-2mcgzjjb/run-2mcgzjjb.wandb filter=lfs diff=lfs merge=lfs -text

decoder/pytorch_model.bin

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 size 1340854571

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 3081656435

run_grid_search.sh

@@ -1,8 +1,8 @@
 #!/usr/bin/env bash
 
 declare -a learning_rates=("3e-5" "1e-4" "3e-4")
-declare -a batch_sizes=("4" "8" "16")
-declare -a gradient_accumulation_step_sizes=("2" "4" "8")
+declare -a batch_sizes=("8" "16")
+declare -a gradient_accumulation_step_sizes=("4")
 
 for learning_rate in "${learning_rates[@]}"; do
     for batch_size in "${batch_sizes[@]}"; do
@@ -19,18 +19,18 @@ for learning_rate in "${learning_rates[@]}"; do
                 --preprocessing_num_workers="1" \
                 --length_column_name="input_length" \
                 --overwrite_output_dir \
-                --num_train_epochs="3" \
+                --num_train_epochs="5" \
                 --per_device_train_batch_size=$batch_size \
                 --per_device_eval_batch_size=$batch_size \
                 --gradient_accumulation_steps=$gradient_accumulation_steps \
                 --generation_max_length="40" \
                 --generation_num_beams="1" \
                 --learning_rate=$learning_rate \
-                --warmup_steps="500" \
+                --warmup_steps="1000" \
                 --evaluation_strategy="steps" \
                 --text_column_name="text" \
-                --save_steps="500" \
-                --eval_steps="500" \
+                --save_steps="1500" \
+                --eval_steps="1500" \
                 --logging_steps="1" \
                 --save_total_limit="1" \
                 --freeze_feature_encoder \

runs/Mar02_09-44-09_sanchit--v100/events.out.tfevents.1646214279.sanchit--v100.255863.0

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runs/Mar02_13-27-31_sanchit--v100/1646227683.166852/events.out.tfevents.1646227683.sanchit--v100.259517.1

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runs/Mar02_13-27-31_sanchit--v100/events.out.tfevents.1646227683.sanchit--v100.259517.0

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training_args.bin

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 size 3119

wandb/debug-internal.log

@@ -1 +1 @@
-run-20220302_094439-2kys49al/logs/debug-internal.log
+run-20220302_132803-2mcgzjjb/logs/debug-internal.log

wandb/debug.log

@@ -1 +1 @@
-run-20220302_094439-2kys49al/logs/debug.log
+run-20220302_132803-2mcgzjjb/logs/debug.log

wandb/latest-run

@@ -1 +1 @@
-run-20220302_094439-2kys49al
+run-20220302_132803-2mcgzjjb

wandb/run-20220302_094439-2kys49al/logs/debug.log

@@ -25,3 +25,5 @@ config: {}
 2022-03-02 09:44:40,908 INFO    MainThread:255863 [wandb_init.py:init():651] run started, returning control to user process
 2022-03-02 09:44:40,911 INFO    MainThread:255863 [wandb_run.py:_config_callback():966] config_cb None None {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'torch.float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'is_encoder_decoder': True, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 50, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'chunk_size_feed_forward': 0, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['SpeechEncoderDecoderModel'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': None, 'pad_token_id': 0, 'eos_token_id': 102, 'sep_token_id': None, 'decoder_start_token_id': 101, 'task_specific_params': None, 'problem_type': None, '_name_or_path': './', 'transformers_version': None, 'decoder': {'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'float32', 'use_bfloat16': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'is_encoder_decoder': False, 'is_decoder': True, 'cross_attention_hidden_size': None, 'add_cross_attention': True, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'repetition_penalty': 1.0, 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'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'architectures': ['Wav2Vec2ForPreTraining'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 0, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'facebook/wav2vec2-large-lv60', 'transformers_version': '4.17.0.dev0', 'feat_extract_dropout': 0.0, 'gradient_checkpointing': False, 'hidden_dropout_prob': 0.0, 'num_feat_extract_layers': 7, 'hidden_size': 1024, 'feat_extract_norm': 'layer', 'feat_extract_activation': 'gelu', 'conv_dim': [512, 512, 512, 512, 512, 512, 512], 'conv_stride': [5, 2, 2, 2, 2, 2, 2], 'conv_kernel': [10, 3, 3, 3, 3, 2, 2], 'conv_bias': True, 'num_conv_pos_embeddings': 128, 'num_conv_pos_embedding_groups': 16, 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 2022-03-02 09:44:40,914 INFO    MainThread:255863 [wandb_watch.py:watch():43] Watching
+2022-03-02 13:25:22,837 INFO    MainThread:255863 [wandb_run.py:_atexit_cleanup():1797] got exitcode: 255
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wandb/run-20220302_132803-2mcgzjjb/files/requirements.txt

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wandb/run-20220302_132803-2mcgzjjb/files/wandb-metadata.json

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+{
+    "os": "Linux-5.11.0-1028-gcp-x86_64-with-glibc2.33",
+    "python": "3.9.5",
+    "heartbeatAt": "2022-03-02T13:28:04.595912",
+    "startedAt": "2022-03-02T13:28:03.493303",
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+    "gpu": "Tesla V100-SXM2-16GB",
+    "gpu_count": 2,
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+    "cuda": null,
+    "args": [
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+        "--model_name_or_path=./",
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+        "--dataset_config_name=clean",
+        "--train_split_name=train.100",
+        "--eval_split_name=validation",
+        "--output_dir=./",
+        "--preprocessing_num_workers=1",
+        "--length_column_name=input_length",
+        "--overwrite_output_dir",
+        "--num_train_epochs=5",
+        "--per_device_train_batch_size=8",
+        "--per_device_eval_batch_size=8",
+        "--gradient_accumulation_steps=4",
+        "--generation_max_length=40",
+        "--generation_num_beams=1",
+        "--learning_rate=3e-5",
+        "--warmup_steps=1000",
+        "--evaluation_strategy=steps",
+        "--text_column_name=text",
+        "--save_steps=1500",
+        "--eval_steps=1500",
+        "--logging_steps=1",
+        "--save_total_limit=1",
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+        "--fp16",
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+    "codePath": "run_speech_recognition_seq2seq.py",
+    "git": {
+        "remote": "https://huggingface.co/sanchit-gandhi/wav2vec2-2-rnd-grid-search",
+        "commit": "0ac38708e2ab8ac619928d0922b314cfdb409f4c"
+    },
+    "email": "sanchit@huggingface.co",
+    "root": "/home/sanchit_huggingface_co/wav2vec2-2-rnd-grid-search",
+    "host": "sanchit--v100",
+    "username": "sanchit_huggingface_co",
+    "executable": "/home/sanchit_huggingface_co/gcp/bin/python"
+}

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