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update model card README.md
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README.md
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@@ -14,6 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.
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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: 5.2423
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- Wer: 1.9180
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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: 0.001
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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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| 5.4548 | 0.28 | 500 | 5.9808 | 1.7241 |
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| 5.2015 | 0.56 | 1000 | 5.7060 | 1.9426 |
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| 5.0912 | 0.84 | 1500 | 5.2423 | 1.9180 |
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### Framework versions
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wandb/run-20220303_004520-25bnjrx1/files/output.log
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{'loss': 4.0566, 'learning_rate': 7.78816199376947e-06, 'epoch': 1.0}
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[INFO|trainer.py:2114] 2022-03-03 03:10:49,235 >> Saving model checkpoint to ./ ./pytorch_model.bin:09<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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] 2022-03-03 03:11:06,251 >> Model weights saved in ./pytorch_model.bin:09<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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': 4.0566, 'learning_rate': 7.78816199376947e-06, 'epoch': 1.0}
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[INFO|trainer.py:2114] 2022-03-03 03:10:49,235 >> Saving model checkpoint to ./ ./pytorch_model.bin:09<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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] 2022-03-03 03:11:06,251 >> Model weights saved in ./pytorch_model.bin:09<00:00, 1.50s/it][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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%|▏ | 11.7M/2.99G [00:01<04:22, 12.2MB/s][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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: 5%|██▌ | 167M/2.99G [00:09<02:25, 20.9MB/s][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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%|███▉ | 249M/2.99G [00:13<02:17, 21.4MB/s][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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-20220303_004520-25bnjrx1/run-25bnjrx1.wandb: 100%|███████████| 48.1M/48.1M [00:16<00:00, 16.4MB/s][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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-20220303_004520-25bnjrx1/run-25bnjrx1.wandb: 100%|███████████| 48.1M/48.1M [00:16<00:00, 16.4MB/s][INFO|trainer.py:1492] 2022-03-03 03:10:31,663 >> 1,165 >> 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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03/03/2022 03:18:09 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search
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CHANGED
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