Gwenn-LR commited on
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End of training

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README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.3676742751388032
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7275
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- - Wer Ortho: 0.3677
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- - Wer: 0.3677
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  ## Model description
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@@ -62,22 +62,21 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 500
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  - training_steps: 500
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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 Ortho | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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- | 2.0566 | 1.7857 | 50 | 1.3459 | 0.4744 | 0.4744 |
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- | 0.3747 | 3.5714 | 100 | 0.4983 | 0.3800 | 0.3800 |
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- | 0.146 | 5.3571 | 150 | 0.5130 | 0.3368 | 0.3368 |
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- | 0.0366 | 7.1429 | 200 | 0.5681 | 0.3436 | 0.3436 |
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- | 0.0104 | 8.9286 | 250 | 0.5982 | 0.3233 | 0.3233 |
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- | 0.0139 | 10.7143 | 300 | 0.6457 | 0.3208 | 0.3208 |
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- | 0.0124 | 12.5 | 350 | 0.6258 | 0.3307 | 0.3307 |
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- | 0.008 | 14.2857 | 400 | 0.6442 | 0.3245 | 0.3245 |
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- | 0.0142 | 16.0714 | 450 | 0.7143 | 0.3374 | 0.3374 |
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- | 0.0203 | 17.8571 | 500 | 0.7275 | 0.3677 | 0.3677 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.31030228254164094
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5900
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+ - Wer Ortho: 0.3103
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+ - Wer: 0.3103
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  ## Model description
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  - lr_scheduler_type: constant_with_warmup
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  - lr_scheduler_warmup_steps: 500
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  - training_steps: 500
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
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  |:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|
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+ | 1.7824 | 1.7857 | 50 | 1.0732 | 0.4565 | 0.4565 |
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+ | 0.3528 | 3.5714 | 100 | 0.4932 | 0.3745 | 0.3745 |
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+ | 0.1313 | 5.3571 | 150 | 0.5215 | 0.3430 | 0.3430 |
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+ | 0.035 | 7.1429 | 200 | 0.5468 | 0.3387 | 0.3387 |
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+ | 0.0103 | 8.9286 | 250 | 0.5900 | 0.3103 | 0.3103 |
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+ | 0.0085 | 10.7143 | 300 | 0.6345 | 0.3307 | 0.3307 |
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+ | 0.009 | 12.5 | 350 | 0.6771 | 0.3418 | 0.3418 |
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+ | 0.0137 | 14.2857 | 400 | 0.6456 | 0.3374 | 0.3374 |
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+ | 0.0138 | 16.0714 | 450 | 0.6171 | 0.3294 | 0.3294 |
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+ | 0.0151 | 17.8571 | 500 | 0.7379 | 0.4312 | 0.4312 |
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  ### Framework versions
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