Training completed!
Browse files
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7682
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- Accuracy: 0.9184
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 4.2967 | 1.0 | 318 | 3.2810 | 0.7181 |
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| 2.6146 | 2.0 | 636 | 1.8653 | 0.8403 |
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| 1.5377 | 3.0 | 954 | 1.1478 | 0.8981 |
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| 1.0043 | 4.0 | 1272 | 0.8491 | 0.9135 |
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| 0.7902 | 5.0 | 1590 | 0.7682 | 0.9184 |
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### Framework versions
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model.safetensors
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