Model save
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README.md
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@@ -18,9 +18,9 @@ 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.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 16.
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- Cer: 6.
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## Model description
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@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
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| 0.1012 | 4.5872 | 500 | 0.
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| 0.0068 | 9.1743 | 1000 | 0.
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| 0.0008 | 13.7615 | 1500 | 0.
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| 0.0005 | 18.3486 | 2000 | 0.
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| 0.0003 | 22.9358 | 2500 | 0.1286 | 17.
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| 0.0002 | 27.5229 | 3000 | 0.
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| 0.0002 | 32.1101 | 3500 | 0.
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| 0.0002 | 36.6972 | 4000 | 0.
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| 0.0001 | 41.2844 | 4500 | 0.
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| 0.0001 | 45.8716 | 5000 | 0.
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1255
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- Wer: 16.9991
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- Cer: 6.8791
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|:-------:|
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| 0.1012 | 4.5872 | 500 | 0.2311 | 21.6999 | 9.7647 |
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| 0.0068 | 9.1743 | 1000 | 0.1444 | 24.1216 | 11.7228 |
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| 0.0008 | 13.7615 | 1500 | 0.1342 | 17.8063 | 7.2913 |
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| 0.0005 | 18.3486 | 2000 | 0.1309 | 17.9012 | 7.3600 |
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| 0.0003 | 22.9358 | 2500 | 0.1286 | 17.5689 | 7.2484 |
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| 0.0002 | 27.5229 | 3000 | 0.1275 | 17.6638 | 7.2655 |
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| 0.0002 | 32.1101 | 3500 | 0.1266 | 16.9516 | 6.8619 |
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| 0.0002 | 36.6972 | 4000 | 0.1260 | 16.9516 | 6.8705 |
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| 0.0001 | 41.2844 | 4500 | 0.1255 | 16.9991 | 6.8533 |
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| 0.0001 | 45.8716 | 5000 | 0.1255 | 16.9991 | 6.8791 |
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### Framework versions
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model.safetensors
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size 290401888
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version https://git-lfs.github.com/spec/v1
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size 290401888
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