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README.md
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# test-model-lg-data
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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# test-model-lg-data
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This model is a fine-tuned version of [Monsia/test-model-lg-data](https://huggingface.co/Monsia/test-model-lg-data) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2715
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- Wer: 0.4246
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 0.2025 | 0.67 | 100 | 0.3060 | 0.5010 |
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| 0.2305 | 1.35 | 200 | 0.3751 | 0.5541 |
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| 0.2455 | 2.03 | 300 | 0.3656 | 0.5298 |
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| 0.1825 | 2.7 | 400 | 0.3330 | 0.4961 |
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| 0.1505 | 3.38 | 500 | 0.3078 | 0.4526 |
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| 0.1307 | 4.05 | 600 | 0.2821 | 0.4338 |
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| 0.1123 | 4.73 | 700 | 0.2715 | 0.4246 |
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### Framework versions
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