Model save
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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 39 | 1.0787 | 0.4136 |
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| No log | 2.0 | 78 | 1.0178 | 0.5152 |
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| No log | 3.0 | 117 | 0.9921 | 0.5285 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7419
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- Accuracy: 0.6098
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## Model description
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### Training results
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### Framework versions
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model.safetensors
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