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wav2vec2-gpt2-wandb-grid-search

Automatic Speech Recognition Transformers PyTorch
speech-encoder-decoder generated_from_trainer Inference Endpoints
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update model card README.md

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  1. README.md +2 -8
  2. wandb/run-20220303_115825-26v3sm6w/files/output.log +85 -0
  3. wandb/run-20220303_115825-26v3sm6w/logs/debug-internal.log +113 -0
  4. wandb/run-20220303_115825-26v3sm6w/run-26v3sm6w.wandb +2 -2
README.md CHANGED
@@ -14,9 +14,6 @@ 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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- It achieves the following results on the evaluation set:
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- - Loss: 5.2814
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- - Wer: 1.9811
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  ## Model description
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@@ -39,8 +36,8 @@ 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: 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
@@ -49,9 +46,6 @@ The following hyperparameters were used during training:
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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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- | 5.0402 | 0.84 | 500 | 5.2814 | 1.9811 |
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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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  ## 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: 8
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+ - total_train_batch_size: 96
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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
wandb/run-20220303_115825-26v3sm6w/files/output.log CHANGED
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  [INFO|modeling_utils.py:1081] 2022-03-03 13:19:06,764 >> Model weights saved in ./pytorch_model.bin:07<00:00, 7.07s/it][INFO|trainer.py:1492] 2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  Adding files tracked by Git LFS: ['wandb/run-20220303_115825-26v3sm6w/run-26v3sm6w.wandb']. This may take a bit of time if the files are large.2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  Adding files tracked by Git LFS: ['wandb/run-20220303_115825-26v3sm6w/run-26v3sm6w.wandb']. This may take a bit of time if the files are large.2022-03-03 13:18:34,468 >> 0,236 >> 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 13:19:06,764 >> Model weights saved in ./pytorch_model.bin:07<00:00, 7.07s/it][INFO|trainer.py:1492] 2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  Adding files tracked by Git LFS: ['wandb/run-20220303_115825-26v3sm6w/run-26v3sm6w.wandb']. This may take a bit of time if the files are large.2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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  Adding files tracked by Git LFS: ['wandb/run-20220303_115825-26v3sm6w/run-26v3sm6w.wandb']. This may take a bit of time if the files are large.2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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+ Upload file training_args.bin: 100%|███████████████████████████████████████████████████████| 3.05k/3.05k [00:00<?, ?B/s]if the files are large.2022-03-03 13:18:34,468 >> 0,236 >> Could not estimate the number of tokens of the input, floating-point operations will not be computed
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wandb/run-20220303_115825-26v3sm6w/logs/debug-internal.log CHANGED
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