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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### 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: 0.5189
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- Accuracy: 0.7951
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- F1: 0.7951
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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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| 0.4666 | 1.0 | 2522 | 0.5650 | 0.7594 | 0.7551 |
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| 0.4421 | 2.0 | 5044 | 0.5189 | 0.7951 | 0.7951 |
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| 0.4033 | 3.0 | 7566 | 0.5224 | 0.7994 | 0.7994 |
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| 0.3775 | 4.0 | 10088 | 0.6658 | 0.8002 | 0.7999 |
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| 0.3549 | 5.0 | 12610 | 0.6499 | 0.8017 | 0.8015 |
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| 0.3429 | 6.0 | 15132 | 0.7884 | 0.7939 | 0.7937 |
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| 0.3077 | 7.0 | 17654 | 0.8724 | 0.7933 | 0.7933 |
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| 0.2841 | 8.0 | 20176 | 0.9424 | 0.7914 | 0.7913 |
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| 0.2393 | 9.0 | 22698 | 1.0403 | 0.7874 | 0.7873 |
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| 0.2206 | 10.0 | 25220 | 1.1224 | 0.7835 | 0.7832 |
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### Framework versions
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model.safetensors
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