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whisper-training-blog

Automatic Speech Recognition
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whisper
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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 186.6677311192719
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fleurs dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0049
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- - Wer: 186.6677
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  ## Model description
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@@ -65,21 +65,21 @@ 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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- | 1.4112 | 0.1 | 44 | 1.4919 | 245.2978 |
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- | 1.0501 | 0.2 | 88 | 1.2255 | 219.9425 |
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- | 0.9033 | 0.29 | 132 | 1.1203 | 205.7800 |
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- | 0.8142 | 1.06 | 176 | 1.0675 | 192.8788 |
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- | 0.8029 | 1.16 | 220 | 1.0393 | 178.4289 |
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- | 0.6324 | 1.25 | 264 | 1.0302 | 216.6055 |
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- | 0.6971 | 2.02 | 308 | 1.0135 | 179.3709 |
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- | 0.6051 | 2.12 | 352 | 1.0065 | 194.6352 |
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- | 0.6048 | 2.21 | 396 | 1.0030 | 173.4792 |
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- | 0.585 | 2.31 | 440 | 1.0049 | 186.6677 |
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  ### Framework versions
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  - Transformers 4.27.3
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- - Pytorch 1.13.1+cu116
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  - Datasets 2.10.1
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- - Tokenizers 0.13.2
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 180.05748044068338
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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 fleurs dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0050
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+ - Wer: 180.0575
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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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+ | 1.4112 | 0.1 | 44 | 1.4919 | 245.3457 |
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+ | 1.0502 | 0.2 | 88 | 1.2255 | 220.1501 |
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+ | 0.9033 | 0.29 | 132 | 1.1203 | 206.2430 |
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+ | 0.8141 | 1.06 | 176 | 1.0675 | 201.9639 |
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+ | 0.8029 | 1.16 | 220 | 1.0394 | 178.3650 |
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+ | 0.6324 | 1.25 | 264 | 1.0301 | 221.2997 |
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+ | 0.6972 | 2.02 | 308 | 1.0134 | 176.6725 |
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+ | 0.6052 | 2.12 | 352 | 1.0065 | 194.7150 |
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+ | 0.6047 | 2.21 | 396 | 1.0030 | 160.9133 |
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+ | 0.5849 | 2.31 | 440 | 1.0050 | 180.0575 |
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  ### Framework versions
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  - Transformers 4.27.3
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+ - Pytorch 2.0.0+cu118
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  - Datasets 2.10.1
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+ - Tokenizers 0.13.3