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End of training

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  1. README.md +9 -9
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@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 57.14285714285714
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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
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9139
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- - Wer: 57.1429
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  ## Model description
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@@ -67,16 +67,16 @@ 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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- | 0.0112 | 20.0 | 1000 | 0.7359 | 61.0390 |
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- | 0.0 | 40.0 | 2000 | 0.8434 | 57.1429 |
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- | 0.0 | 60.0 | 3000 | 0.8839 | 57.1429 |
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- | 0.0 | 80.0 | 4000 | 0.9055 | 57.1429 |
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- | 0.0 | 100.0 | 5000 | 0.9139 | 57.1429 |
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  ### Framework versions
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  - Transformers 4.41.0
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- - Pytorch 2.2.1+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 58.44155844155844
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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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9705
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+ - Wer: 58.4416
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0021 | 20.0 | 1000 | 0.8610 | 61.0390 |
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+ | 0.0 | 40.0 | 2000 | 0.9097 | 59.7403 |
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+ | 0.0 | 60.0 | 3000 | 0.9417 | 59.7403 |
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+ | 0.0 | 80.0 | 4000 | 0.9622 | 59.7403 |
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+ | 0.0 | 100.0 | 5000 | 0.9705 | 58.4416 |
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  ### Framework versions
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  - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1