starmodel
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README.md
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) 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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- 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 | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3625
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- Accuracy: 0.875
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- Precision: 0.8831
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- Recall: 0.875
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- F1: 0.8727
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 1.3291 | 1.0 | 16 | 0.7307 | 0.75 | 0.8136 | 0.75 | 0.7153 |
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| 0.2835 | 2.0 | 32 | 0.4262 | 0.8438 | 0.8759 | 0.8438 | 0.8376 |
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| 0.1555 | 3.0 | 48 | 0.3625 | 0.875 | 0.8831 | 0.875 | 0.8727 |
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### Framework versions
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model.safetensors
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