tool-bert
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- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) 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: 1.0
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- Precision: 1.0
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- F1: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0027
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- Accuracy: 1.0
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- Precision: 1.0
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- F1: 1.0
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
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| 1.2148 | 1.0 | 50 | 1.0773 | 0.7327 | 0.8210 | 0.7354 |
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| 0.2475 | 2.0 | 100 | 0.1127 | 0.9802 | 0.9807 | 0.9802 |
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| 0.1395 | 3.0 | 150 | 0.0373 | 0.9901 | 0.9906 | 0.9901 |
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| 0.009 | 4.0 | 200 | 0.0066 | 1.0 | 1.0 | 1.0 |
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| 0.0057 | 5.0 | 250 | 0.0051 | 1.0 | 1.0 | 1.0 |
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| 0.0044 | 6.0 | 300 | 0.0037 | 1.0 | 1.0 | 1.0 |
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| 0.0038 | 7.0 | 350 | 0.0032 | 1.0 | 1.0 | 1.0 |
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| 0.0035 | 8.0 | 400 | 0.0029 | 1.0 | 1.0 | 1.0 |
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| 0.0032 | 9.0 | 450 | 0.0027 | 1.0 | 1.0 | 1.0 |
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| 0.0032 | 10.0 | 500 | 0.0027 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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model.safetensors
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training_args.bin
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