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update model card README.md
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README.md
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#
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This model was trained from scratch on the librispeech_asr dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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### Training results
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### Framework versions
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#
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This model was trained from scratch on the librispeech_asr dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.2076
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- Wer: 1.9033
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 4.114 | 0.28 | 500 | 4.3113 | 1.9472 |
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| 4.3994 | 0.56 | 1000 | 4.2764 | 1.9604 |
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| 4.3001 | 0.84 | 1500 | 4.2076 | 1.9033 |
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### Framework versions
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wandb/run-20220301_013112-3e2necnj/files/output.log
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{'loss': 3.5579, 'learning_rate': 9.345794392523364e-08, 'epoch': 1.0}
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[INFO|trainer.py:2114] 2022-03-01 03:53:24,709 >> Saving model checkpoint to ./ ./pytorch_model.bin:53<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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[INFO|modeling_utils.py:1081] 2022-03-01 03:53:41,008 >> Model weights saved in ./pytorch_model.bin:53<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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{'loss': 3.5579, 'learning_rate': 9.345794392523364e-08, 'epoch': 1.0}
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[INFO|trainer.py:2114] 2022-03-01 03:53:24,709 >> Saving model checkpoint to ./ ./pytorch_model.bin:53<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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[INFO|modeling_utils.py:1081] 2022-03-01 03:53:41,008 >> Model weights saved in ./pytorch_model.bin:53<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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Upload file pytorch_model.bin: 0%| | 32.0k/2.99G [00:00<?, ?B/s][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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Upload file pytorch_model.bin: 1%|▍ | 31.7M/2.99G [00:02<03:07, 16.9MB/s][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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Upload file pytorch_model.bin: 8%|███▌ | 230M/2.99G [00:12<02:22, 20.9MB/s][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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Upload file wandb/run-20220301_013112-3e2necnj/run-3e2necnj.wandb: 100%|███████████| 52.9M/52.9M [00:15<00:00, 16.9MB/s][INFO|trainer.py:1492] 2022-03-01 03:53:07,115 >> 6,589 >> 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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03/01/2022 03:57:48 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search
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wandb/run-20220301_013112-3e2necnj/logs/debug-internal.log
CHANGED
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2022-03-01 03:55:03,789 DEBUG SenderThread:237027 [sender.py:send():235] send: stats
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2022-03-01 03:55:03,789 DEBUG SenderThread:237027 [sender.py:send():235] send: stats
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2022-03-01 03:55:18,368 INFO Thread-8 :237027 [dir_watcher.py:_on_file_modified():230] file/dir modified: /home/sanchit_huggingface_co/wav2vec2-gpt2-wandb-grid-search/wandb/run-20220301_013112-3e2necnj/files/output.log
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