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README.md
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This model is a fine-tuned version of [ltuzova/cs_domain_pretrained_model](https://huggingface.co/ltuzova/cs_domain_pretrained_model) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1 Macro: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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| 0.3867 | 5.0 | 527 | 0.7818 | 0.7632 | 0.6203 |
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| 0.303 | 6.0 | 633 | 0.8145 | 0.7281 | 0.5332 |
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| 0.2004 | 7.0 | 738 | 0.8973 | 0.7719 | 0.5941 |
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| 0.148 | 8.0 | 844 | 0.9316 | 0.7982 | 0.6590 |
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| 0.1489 | 9.0 | 949 | 0.9622 | 0.7895 | 0.6361 |
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| 0.0936 | 9.95 | 1050 | 0.9849 | 0.7807 | 0.5990 |
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### Framework versions
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This model is a fine-tuned version of [ltuzova/cs_domain_pretrained_model](https://huggingface.co/ltuzova/cs_domain_pretrained_model) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5175
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- Accuracy: 0.5108
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- F1 Macro: 0.1127
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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| 1.6621 | 1.0 | 105 | 1.5071 | 0.5175 | 0.1137 |
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| 1.4561 | 2.0 | 211 | 1.3867 | 0.5175 | 0.1137 |
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| 1.4054 | 3.0 | 316 | 1.3482 | 0.5175 | 0.1137 |
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| 1.3753 | 4.0 | 422 | 1.3319 | 0.5175 | 0.1137 |
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### Framework versions
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