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wav2vec2-gpt2-wandb-grid-search

Automatic Speech Recognition
Transformers
PyTorch
speech-encoder-decoder
Generated from Trainer
Inference Endpoints
Model card Files Community
sanchit-gandhi HF staff commited on
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update model card README.md

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  1. README.md +5 -6
  2. wandb/run-20220301_103527-1wkgn37c/files/output.log +83 -0
  3. wandb/run-20220301_103527-1wkgn37c/logs/debug-internal.log +108 -0
  4. wandb/run-20220301_103527-1wkgn37c/run-1wkgn37c.wandb +2 -2
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 4.1930
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- - Wer: 1.9037
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  ## Model description
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@@ -39,8 +39,8 @@ The following hyperparameters were used during training:
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  - train_batch_size: 12
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  - eval_batch_size: 12
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 24
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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
@@ -51,8 +51,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 4.3963 | 0.42 | 500 | 4.3181 | 1.8917 |
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- | 4.4804 | 0.84 | 1000 | 4.1930 | 1.9037 |
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  ### Framework versions
 
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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: 4.1708
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+ - Wer: 1.9510
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  ## Model description
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  - train_batch_size: 12
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  - eval_batch_size: 12
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 48
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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 Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 4.3047 | 0.84 | 500 | 4.1708 | 1.9510 |
 
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  ### Framework versions
wandb/run-20220301_103527-1wkgn37c/files/output.log CHANGED
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  {'loss': 4.3369, 'learning_rate': 9.574468085106382e-07, 'epoch': 1.0}
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  [INFO|trainer.py:2114] 2022-03-01 12:10:24,819 >> Saving model checkpoint to ./ ./pytorch_model.bin:39<00:00, 3.94s/it][INFO|trainer.py:1492] 2022-03-01 12:10:07,870 >> 5,792 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  [INFO|modeling_utils.py:1081] 2022-03-01 12:10:41,649 >> Model weights saved in ./pytorch_model.bin:39<00:00, 3.94s/it][INFO|trainer.py:1492] 2022-03-01 12:10:07,870 >> 5,792 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  {'loss': 4.3369, 'learning_rate': 9.574468085106382e-07, 'epoch': 1.0}
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  [INFO|trainer.py:2114] 2022-03-01 12:10:24,819 >> Saving model checkpoint to ./ ./pytorch_model.bin:39<00:00, 3.94s/it][INFO|trainer.py:1492] 2022-03-01 12:10:07,870 >> 5,792 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  [INFO|modeling_utils.py:1081] 2022-03-01 12:10:41,649 >> Model weights saved in ./pytorch_model.bin:39<00:00, 3.94s/it][INFO|trainer.py:1492] 2022-03-01 12:10:07,870 >> 5,792 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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+ 03/01/2022 12:15:02 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-gpt2-wandb-grid-search
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+ [INFO|modelcard.py:460] 2022-03-01 12:15:06,038 >> Dropping the following result as it does not have all the necessary fields:trainer.py:1492] 2022-03-01 12:10:07,870 >> 5,792 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
wandb/run-20220301_103527-1wkgn37c/logs/debug-internal.log CHANGED
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