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  1. README.md +13 -17
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4270
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- - Wer: 22.0013
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- - Wer Normalized: 18.1723
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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: 3.05e-05
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- - train_batch_size: 32
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- - eval_batch_size: 16
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  - seed: 42
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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: 80
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- - training_steps: 800
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Wer Normalized |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------------:|
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- | 0.6738 | 0.5 | 100 | 0.3943 | 21.7334 | 17.9487 |
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- | 0.4816 | 1.01 | 200 | 0.3762 | 20.9203 | 17.1352 |
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- | 0.2652 | 1.51 | 300 | 0.3872 | 21.1882 | 17.2827 |
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- | 0.2901 | 2.01 | 400 | 0.3912 | 21.4608 | 17.7061 |
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- | 0.1408 | 2.51 | 500 | 0.4063 | 21.6112 | 18.0010 |
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- | 0.1428 | 3.02 | 600 | 0.4132 | 21.8650 | 18.0201 |
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- | 0.0839 | 3.52 | 700 | 0.4252 | 22.3679 | 18.4720 |
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- | 0.0906 | 4.02 | 800 | 0.4270 | 22.0013 | 18.1723 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4987
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+ - Wer: 22.2974
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+ - Wer Normalized: 18.5291
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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: 2.05e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: reduce_lr_on_plateau
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+ - lr_scheduler_warmup_steps: 120
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+ - training_steps: 2400
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer | Wer Normalized |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------------:|
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+ | 0.3716 | 1.01 | 400 | 0.3988 | 21.8039 | 17.8916 |
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+ | 0.2003 | 2.02 | 800 | 0.4440 | 22.3350 | 18.6242 |
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+ | 0.0571 | 3.02 | 1200 | 0.4960 | 22.5982 | 19.2284 |
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+ | 0.03 | 4.03 | 1600 | 0.4987 | 22.2974 | 18.5291 |
 
 
 
 
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  ### Framework versions
pytorch_model.bin CHANGED
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