End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) 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.
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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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1808
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- Accuracy: 0.9342
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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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| 0.223 | 1.0 | 1219 | 0.1757 | 0.9265 |
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| 0.1406 | 2.0 | 2438 | 0.1808 | 0.9342 |
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### Framework versions
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model.safetensors
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runs/Mar31_01-17-59_23bf28c87935/events.out.tfevents.1711847880.23bf28c87935.34.1
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