Training completed!
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README.md
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) 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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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 456 | 0.
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### Framework versions
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4927
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- Accuracy: 0.7743
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- F1: 0.7692
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 456 | 0.5513 | 0.7545 | 0.7512 |
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| 0.6706 | 2.0 | 912 | 0.5147 | 0.7685 | 0.7675 |
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| 0.5362 | 3.0 | 1368 | 0.4927 | 0.7743 | 0.7692 |
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| 0.4686 | 4.0 | 1824 | 0.6096 | 0.7372 | 0.7366 |
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| 0.4149 | 5.0 | 2280 | 0.5597 | 0.7702 | 0.7686 |
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| 0.3763 | 6.0 | 2736 | 0.8274 | 0.7759 | 0.7759 |
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| 0.3642 | 7.0 | 3192 | 0.8380 | 0.7677 | 0.7669 |
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| 0.3207 | 8.0 | 3648 | 0.9043 | 0.7661 | 0.7661 |
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| 0.2837 | 9.0 | 4104 | 0.9605 | 0.7727 | 0.7722 |
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| 0.2508 | 10.0 | 4560 | 1.0251 | 0.7677 | 0.7677 |
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### Framework versions
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model.safetensors
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