Model save
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7039
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1
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| 0.6863 | 1.0 | 1010 | 0.7004 | 0.
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| 0.6812 | 2.0 | 2020 | 0.6994 | 0.
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| 0.6816 | 3.0 | 3030 | 0.7515 | 0.
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| 0.6796 | 4.0 | 4040 | 0.7039 | 0.
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7039
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- Accuracy: 0.5030
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- Precision: 0.5015
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- Recall: 0.9960
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- F1: 0.6671
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- Best Threshold: 0.4007
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Best Threshold |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------------:|
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| 0.6863 | 1.0 | 1010 | 0.7004 | 0.5111 | 0.5057 | 0.9859 | 0.6685 | 0.4378 |
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| 0.6812 | 2.0 | 2020 | 0.6994 | 0.5030 | 0.5015 | 0.9960 | 0.6671 | 0.4333 |
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| 0.6816 | 3.0 | 3030 | 0.7515 | 0.5030 | 0.5015 | 0.9839 | 0.6644 | 0.3329 |
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| 0.6796 | 4.0 | 4040 | 0.7039 | 0.5030 | 0.5015 | 0.9960 | 0.6671 | 0.4007 |
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### Framework versions
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model.safetensors
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