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: 0.4775
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- Accuracy: 0.7661
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- F1: 0.7655
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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 | 0.6868 | 0.5181 | 0.3737 |
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| 0.6882 | 2.0 | 912 | 0.6929 | 0.5404 | 0.4805 |
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| 0.6472 | 3.0 | 1368 | 0.6147 | 0.7068 | 0.7065 |
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| 0.6152 | 4.0 | 1824 | 0.4775 | 0.7661 | 0.7655 |
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| 0.4984 | 5.0 | 2280 | 0.5031 | 0.7751 | 0.7720 |
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| 0.4517 | 6.0 | 2736 | 0.5381 | 0.7743 | 0.7741 |
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| 0.3848 | 7.0 | 3192 | 0.6498 | 0.7900 | 0.7882 |
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| 0.3571 | 8.0 | 3648 | 0.6793 | 0.7801 | 0.7801 |
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| 0.3343 | 9.0 | 4104 | 0.8301 | 0.7825 | 0.7825 |
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| 0.3137 | 10.0 | 4560 | 0.9152 | 0.7850 | 0.7850 |
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### Framework versions
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model.safetensors
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runs/May16_07-12-26_0551480a1390/events.out.tfevents.1715845234.0551480a1390.35886.1
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