End of training
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README.md
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1162
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2641 | 0.11 | 500 | 0.2493 |
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| 0.2369 | 0.21 | 1000 | 0.1986 |
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| 0.2348 | 0.32 | 1500 | 0.1810 |
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| 0.2239 | 0.43 | 2000 | 0.1732 |
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| 0.1745 | 0.54 | 2500 | 0.1643 |
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| 0.1664 | 0.64 | 3000 | 0.1493 |
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| 0.1701 | 0.75 | 3500 | 0.1446 |
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| 0.2041 | 0.86 | 4000 | 0.1375 |
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| 0.1541 | 0.96 | 4500 | 0.1347 |
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| 0.1168 | 1.07 | 5000 | 0.1398 |
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| 0.1174 | 1.18 | 5500 | 0.1339 |
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| 0.1108 | 1.28 | 6000 | 0.1345 |
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| 0.1163 | 1.39 | 6500 | 0.1292 |
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| 0.1292 | 1.5 | 7000 | 0.1268 |
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| 0.0999 | 1.61 | 7500 | 0.1270 |
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| 0.1023 | 1.71 | 8000 | 0.1225 |
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| 0.123 | 1.82 | 8500 | 0.1208 |
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| 0.1105 | 1.93 | 9000 | 0.1182 |
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| 0.0938 | 2.03 | 9500 | 0.1212 |
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| 0.0995 | 2.14 | 10000 | 0.1215 |
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| 0.075 | 2.25 | 10500 | 0.1223 |
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| 0.0746 | 2.35 | 11000 | 0.1201 |
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| 0.0816 | 2.46 | 11500 | 0.1187 |
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| 0.0819 | 2.57 | 12000 | 0.1170 |
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| 0.0876 | 2.68 | 12500 | 0.1164 |
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| 0.0628 | 2.78 | 13000 | 0.1168 |
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| 0.0695 | 2.89 | 13500 | 0.1166 |
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| 0.0835 | 3.0 | 14000 | 0.1162 |
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### Framework versions
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