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: 0.0931
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.2288 | 0.11 | 500 | 0.1670 |
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| 0.1744 | 0.21 | 1000 | 0.1545 |
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| 0.1726 | 0.32 | 1500 | 0.1341 |
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| 0.1622 | 0.43 | 2000 | 0.1329 |
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| 0.1382 | 0.54 | 2500 | 0.1289 |
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| 0.1322 | 0.64 | 3000 | 0.1184 |
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| 0.1288 | 0.75 | 3500 | 0.1182 |
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| 0.1304 | 0.86 | 4000 | 0.1088 |
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| 0.1255 | 0.96 | 4500 | 0.1068 |
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| 0.1039 | 1.07 | 5000 | 0.1093 |
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| 0.0969 | 1.18 | 5500 | 0.1060 |
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| 0.1001 | 1.28 | 6000 | 0.1087 |
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| 0.0966 | 1.39 | 6500 | 0.1027 |
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| 0.101 | 1.5 | 7000 | 0.0999 |
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| 0.0851 | 1.61 | 7500 | 0.1010 |
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| 0.1068 | 1.71 | 8000 | 0.1021 |
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| 0.1024 | 1.82 | 8500 | 0.0966 |
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| 0.0852 | 1.93 | 9000 | 0.0962 |
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| 0.0688 | 2.03 | 9500 | 0.0967 |
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| 0.0791 | 2.14 | 10000 | 0.0987 |
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| 0.0606 | 2.25 | 10500 | 0.0978 |
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| 0.0732 | 2.35 | 11000 | 0.0963 |
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| 0.0758 | 2.46 | 11500 | 0.0951 |
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| 0.0765 | 2.57 | 12000 | 0.0945 |
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| 0.0671 | 2.68 | 12500 | 0.0932 |
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| 0.0422 | 2.78 | 13000 | 0.0936 |
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| 0.0493 | 2.89 | 13500 | 0.0942 |
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| 0.0542 | 3.0 | 14000 | 0.0931 |
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### Framework versions
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