sakren/debert-imeocap
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README.md
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
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### Framework versions
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8660
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- F1: 0.6185
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- Precision: 0.6337
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- Recall: 0.6154
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- Accuracy: 0.6154
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
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| 0.4637 | 1.0 | 74 | 1.3864 | 0.6129 | 0.6262 | 0.6115 | 0.6115 |
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| 0.3815 | 2.0 | 148 | 1.3801 | 0.6193 | 0.6348 | 0.6173 | 0.6173 |
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| 0.3363 | 3.0 | 222 | 1.6944 | 0.6077 | 0.6297 | 0.6077 | 0.6077 |
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| 0.31 | 4.0 | 296 | 1.6945 | 0.5995 | 0.6285 | 0.5942 | 0.5942 |
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| 0.2885 | 5.0 | 370 | 1.5945 | 0.6218 | 0.6306 | 0.6192 | 0.6192 |
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| 0.2594 | 6.0 | 444 | 1.7662 | 0.6279 | 0.6396 | 0.625 | 0.625 |
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| 0.2319 | 7.0 | 518 | 1.7093 | 0.6210 | 0.6321 | 0.6173 | 0.6173 |
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| 0.2306 | 8.0 | 592 | 1.8068 | 0.6279 | 0.6341 | 0.6288 | 0.6288 |
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| 0.2167 | 9.0 | 666 | 1.7306 | 0.6376 | 0.6444 | 0.6346 | 0.6346 |
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| 0.2158 | 10.0 | 740 | 1.8745 | 0.6262 | 0.6318 | 0.6269 | 0.6269 |
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| 0.222 | 11.0 | 814 | 1.8323 | 0.6200 | 0.6348 | 0.6173 | 0.6173 |
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| 0.2152 | 12.0 | 888 | 1.8576 | 0.6246 | 0.6363 | 0.6212 | 0.6212 |
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| 0.226 | 13.0 | 962 | 1.8880 | 0.6343 | 0.6411 | 0.6308 | 0.6308 |
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| 0.2097 | 14.0 | 1036 | 1.8884 | 0.6152 | 0.6326 | 0.6115 | 0.6115 |
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| 0.2192 | 15.0 | 1110 | 1.8660 | 0.6185 | 0.6337 | 0.6154 | 0.6154 |
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### Framework versions
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model.safetensors
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