Training in progress, step 500

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wandb/run-20220302_085255-16llzpbl/files/config.yaml

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wandb/run-20220302_085255-16llzpbl/files/output.log

@@ -5873,3 +5873,10 @@ Upload file wandb/run-20220302_085255-16llzpbl/run-16llzpbl.wandb: 100%|██
   eval_steps_per_second   =      0.292
 [INFO|trainer.py:2114] 2022-03-02 11:39:36,707 >> Saving model checkpoint to ./*███| 55.2M/55.2M [00:03<00:00, 19.2MB/s]ields:trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
 [INFO|modeling_utils.py:1081] 2022-03-02 11:39:53,008 >> Model weights saved in ./pytorch_model.bin0:03<00:00, 19.2MB/s]ields:trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+Upload file wandb/run-20220302_085255-16llzpbl/run-16llzpbl.wandb:  28%|███        | 15.6M/55.3M [00:01<00:02, 16.3MB/s]ields:trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+Upload file wandb/run-20220302_085255-16llzpbl/run-16llzpbl.wandb:  28%|███        | 15.6M/55.3M [00:01<00:02, 16.3MB/s]ields:trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+03/02/2022 11:40:22 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search
+Upload file wandb/run-20220302_085255-16llzpbl/run-16llzpbl.wandb: 100%|███████████| 55.3M/55.3M [00:03<00:00, 19.3MB/s]ields:trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+    return ModelInfo(**d)f.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainercard31, in mainule>trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+    return ModelInfo(**d)f.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainercard31, in mainule>trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+    return ModelInfo(**d)f.finetuned_from)formers/src/transformers/modelcard.py", line 611, in from_trainercard31, in mainule>trainer.py:1492] 2022-03-02 11:15:49,467 >> 8,984 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.

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 2022-03-02 08:52:56,635 INFO    MainThread:254567 [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, 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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': ['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], 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False, 'sharded_ddp': '[]', 'deepspeed': 'None', 'label_smoothing_factor': 0.0, 'optim': 'adamw_hf', 'adafactor': False, 'group_by_length': True, 'length_column_name': 'input_length', 'report_to': "['wandb']", 'ddp_find_unused_parameters': 'None', 'ddp_bucket_cap_mb': 'None', 'dataloader_pin_memory': True, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': True, 'resume_from_checkpoint': 'None', 'hub_model_id': 'None', 'hub_strategy': 'every_save', 'hub_token': '<HUB_TOKEN>', 'gradient_checkpointing': True, 'fp16_backend': 'auto', 'push_to_hub_model_id': 'None', 'push_to_hub_organization': 'None', 'push_to_hub_token': '<PUSH_TO_HUB_TOKEN>', '_n_gpu': 1, 'mp_parameters': '', 'sortish_sampler': False, 'predict_with_generate': True, 'generation_max_length': 40, 'generation_num_beams': 1, 'train_batch_size': 8, 'eval_batch_size': 8}
 2022-03-02 08:52:56,638 INFO    MainThread:254567 [wandb_watch.py:watch():43] Watching
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wandb/run-20220302_085255-16llzpbl/run-16llzpbl.wandb

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wandb/run-20220302_114207-c11kvzxa/files/requirements.txt

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wandb/run-20220302_114207-c11kvzxa/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": "2022-03-02T11:42:08.323277",
+    "startedAt": "2022-03-02T11:42:07.159962",
+    "docker": null,
+    "gpu": "Tesla V100-SXM2-16GB",
+    "gpu_count": 2,
+    "cpu_count": 16,
+    "cuda": null,
+    "args": [
+        "--dataset_name=librispeech_asr",
+        "--model_name_or_path=./",
+        "--tokenizer_name=./",
+        "--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=1",
+        "--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-4",
+        "--warmup_steps=500",
+        "--evaluation_strategy=steps",
+        "--text_column_name=text",
+        "--save_steps=500",
+        "--eval_steps=500",
+        "--logging_steps=1",
+        "--save_total_limit=1",
+        "--freeze_feature_encoder",
+        "--gradient_checkpointing",
+        "--fp16",
+        "--group_by_length",
+        "--predict_with_generate",
+        "--do_lower_case",
+        "--do_train",
+        "--do_eval",
+        "--report_to=wandb",
+        "--push_to_hub",
+        "--use_auth_token"
+    ],
+    "state": "running",
+    "program": "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/run_speech_recognition_seq2seq.py",
+    "codePath": "run_speech_recognition_seq2seq.py",
+    "git": {
+        "remote": "https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search",
+        "commit": "c78a666cbf9c5b2dbc28db22e14bf1a2f2d162e1"
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+}

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