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: 0.9419
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- 1-f1: 0.4571
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- 1-recall: 0.3077
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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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### 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: 0.8795
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- Accuracy: 0.9419
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- 1-f1: 0.4571
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- 1-recall: 0.3077
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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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| 0.4003 | 1.0 | 11 | 0.2501 | 0.9113 | 0.6234 | 0.9231 | 0.4706 | 0.9167 |
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| 0.1352 | 2.0 | 22 | 0.4691 | 0.9480 | 0.6047 | 0.5 | 0.7647 | 0.7434 |
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| 0.1484 | 3.0 | 33 | 0.8795 | 0.9419 | 0.4571 | 0.3077 | 0.8889 | 0.6522 |
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### Framework versions
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model.safetensors
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training_args.bin
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