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update model card README.md
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README.md
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metrics:
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- name: Wer
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type: wer
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value:
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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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@@ -32,7 +32,7 @@ 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: 1.0050
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- Wer:
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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.
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| 1.
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| 0.
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| 0.8141 | 1.06 | 176 | 1.0675 |
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| 0.8029 | 1.16 | 220 | 1.0394 | 178.
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| 0.6047 | 2.21 | 396 | 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.
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- Datasets 2.
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- Tokenizers 0.13.3
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metrics:
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- name: Wer
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type: wer
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value: 191.23423279578478
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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: 191.2342
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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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| 1.4111 | 0.1 | 44 | 1.4919 | 245.3457 |
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| 1.0501 | 0.2 | 88 | 1.2255 | 225.8822 |
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| 0.9032 | 0.29 | 132 | 1.1203 | 211.6558 |
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| 0.8141 | 1.06 | 176 | 1.0675 | 184.6240 |
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| 0.8029 | 1.16 | 220 | 1.0394 | 178.4129 |
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| 0.6325 | 1.25 | 264 | 1.0301 | 216.6374 |
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| 0.6971 | 2.02 | 308 | 1.0135 | 184.4004 |
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| 0.6051 | 2.12 | 352 | 1.0065 | 194.7150 |
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| 0.6047 | 2.21 | 396 | 1.0029 | 166.9328 |
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| 0.585 | 2.31 | 440 | 1.0050 | 191.2342 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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