End of training
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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 the None 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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- 1-f1: 0.
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- 1-recall: 0.
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- 1-precision: 0.
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- Balanced Acc: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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| 0.0071 | 4.0 | 68 | 0.2301 | 0.9591 | 0.5769 | 0.7895 | 0.4545 | 0.8774 |
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| 0.0198 | 5.0 | 85 | 0.3545 | 0.9610 | 0.5333 | 0.6316 | 0.4615 | 0.8023 |
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| 0.0226 | 6.0 | 102 | 0.5967 | 0.9591 | 0.45 | 0.4737 | 0.4286 | 0.7253 |
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6131
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- Accuracy: 0.9628
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- 1-f1: 0.4444
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- 1-recall: 0.4211
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- 1-precision: 0.4706
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- Balanced Acc: 0.7019
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|:-----------:|:------------:|
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| 0.1179 | 1.0 | 17 | 0.2541 | 0.9480 | 0.4167 | 0.5263 | 0.3448 | 0.7449 |
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| 0.1074 | 2.0 | 34 | 0.5716 | 0.9591 | 0.3529 | 0.3158 | 0.4 | 0.6492 |
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| 0.0526 | 3.0 | 51 | 0.6131 | 0.9628 | 0.4444 | 0.4211 | 0.4706 | 0.7019 |
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### Framework versions
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model.safetensors
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