starmodel
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- training_args.bin +1 -1
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: 0.3933
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- Accuracy: 0.8906
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- Precision: 0.8974
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- Recall: 0.8906
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- F1: 0.8899
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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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| 1.2798 | 1.0 | 16 | 0.7683 | 0.7344 | 0.8181 | 0.7344 | 0.7226 |
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| 0.1812 | 2.0 | 32 | 0.3600 | 0.8906 | 0.8974 | 0.8906 | 0.8899 |
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| 0.0363 | 3.0 | 48 | 0.3933 | 0.8906 | 0.8974 | 0.8906 | 0.8899 |
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### Framework versions
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model.safetensors
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training_args.bin
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