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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 -7
  2. wandb/run-20220303_033953-1eigbhyo/files/output.log +83 -0
  3. wandb/run-20220303_033953-1eigbhyo/logs/debug-internal.log +110 -0
  4. wandb/run-20220303_033953-1eigbhyo/run-1eigbhyo.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: 5.2423
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- - Wer: 1.9180
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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: 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
@@ -51,9 +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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- | 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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  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: 5.5538
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+ - Wer: 2.0133
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  ## Model description
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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: 4
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+ - total_train_batch_size: 32
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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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+ | 4.7246 | 0.56 | 500 | 5.5538 | 2.0133 |
 
 
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  ### Framework versions
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  [INFO|trainer.py:2114] 2022-03-03 05:25:18,320 >> Saving model checkpoint to ./=)███| 892/892 [1:45:23<00:00, 2.87s/it][INFO|trainer.py:1492] 2022-03-03 05:25:18,318 >> 6,855 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  [INFO|trainer.py:2114] 2022-03-03 05:25:34,749 >> Saving model checkpoint to ./ ./pytorch_model.bin:23<00:00, 2.87s/it][INFO|trainer.py:1492] 2022-03-03 05:25:18,318 >> 6,855 >> 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] 2022-03-03 05:25:51,178 >> Model weights saved in ./pytorch_model.bin:23<00:00, 2.87s/it][INFO|trainer.py:1492] 2022-03-03 05:25:18,318 >> 6,855 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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