Model save

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wandb/run-20220302_180214-gd4yxtv7/files/config.yaml

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wandb/run-20220302_180214-gd4yxtv7/files/output.log

@@ -3331,3 +3331,11 @@ Upload file wandb/run-20220302_180214-gd4yxtv7/run-gd4yxtv7.wandb:  52%|██
   eval_samples_per_second =      2.835
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 [INFO|modeling_utils.py:1081] 2022-03-02 19:58:23,568 >> Model weights saved in ./pytorch_model.bin:06<08:53,  2.45s/it] argument in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+Upload file wandb/run-20220302_180214-gd4yxtv7/run-gd4yxtv7.wandb:   0%|                   | 32.0k/34.6M [00:00<?, ?B/s] argument in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+Upload file wandb/run-20220302_180214-gd4yxtv7/run-gd4yxtv7.wandb:   0%|                   | 32.0k/34.6M [00:00<?, ?B/s] argument in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.
+03/02/2022 19:58:53 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search
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+Upload file wandb/run-20220302_180214-gd4yxtv7/run-gd4yxtv7.wandb: 100%|███████████| 34.6M/34.6M [00:03<00:00, 12.1MB/s] argument in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_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>ent in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_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>ent in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_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>ent in `SpeechEncoderDecoderModel.forward` and have been ignored: input_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.ut_length. If input_length are not expected by `SpeechEncoderDecoderModel.forward`,  you can safely ignore this message.

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 2022-03-02 18:02:16,191 INFO    MainThread:262859 [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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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': 12, 'eval_batch_size': 12}
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wandb/run-20220302_180214-gd4yxtv7/run-gd4yxtv7.wandb

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wandb/run-20220302_200036-31e4k99c/files/requirements.txt

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wandb/run-20220302_200036-31e4k99c/files/wandb-metadata.json

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+    "heartbeatAt": "2022-03-02T20:00:37.794696",
+    "startedAt": "2022-03-02T20:00:36.618082",
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+    "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=12",
+        "--per_device_eval_batch_size=12",
+        "--gradient_accumulation_steps=8",
+        "--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": "40d16733988ceba6d436aeda67aa2bb3816437ca"
+    },
+    "email": "sanchit@huggingface.co",
+    "root": "/home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search",
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+    "username": "sanchit_huggingface_co",
+    "executable": "/home/sanchit_huggingface_co/gcp/bin/python"
+}

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