End of training
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README.md
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 | 302 |
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| 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Precision: 0.6101
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- Recall: 0.6414
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- F1: 0.6254
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| No log | 1.0 | 302 | nan | 0.6213 | 0.4303 | 0.5085 |
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| 0.0 | 2.0 | 604 | nan | 0.6480 | 0.5338 | 0.5854 |
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| 0.0 | 3.0 | 906 | nan | 0.6101 | 0.6414 | 0.6254 |
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### Framework versions
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model.safetensors
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