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: 0.1503
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.3928 | 0.11 | 500 | 0.3528 |
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| 0.3138 | 0.21 | 1000 | 0.2822 |
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| 0.3223 | 0.32 | 1500 | 0.2444 |
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| 0.3311 | 0.43 | 2000 | 0.2249 |
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| 0.2256 | 0.54 | 2500 | 0.2169 |
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| 0.222 | 0.64 | 3000 | 0.1999 |
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| 0.2153 | 0.75 | 3500 | 0.1990 |
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| 0.2167 | 0.86 | 4000 | 0.1814 |
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| 0.2041 | 0.96 | 4500 | 0.1764 |
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| 0.162 | 1.07 | 5000 | 0.1777 |
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| 0.1645 | 1.18 | 5500 | 0.1742 |
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| 0.1649 | 1.28 | 6000 | 0.1747 |
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| 0.1721 | 1.39 | 6500 | 0.1660 |
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| 0.1652 | 1.5 | 7000 | 0.1666 |
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| 0.15 | 1.61 | 7500 | 0.1626 |
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| 0.133 | 1.71 | 8000 | 0.1620 |
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| 0.159 | 1.82 | 8500 | 0.1574 |
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| 0.1415 | 1.93 | 9000 | 0.1558 |
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| 0.1174 | 2.03 | 9500 | 0.1573 |
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| 0.1226 | 2.14 | 10000 | 0.1562 |
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| 0.1018 | 2.25 | 10500 | 0.1571 |
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| 0.0978 | 2.35 | 11000 | 0.1550 |
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| 0.0985 | 2.46 | 11500 | 0.1537 |
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| 0.1284 | 2.57 | 12000 | 0.1507 |
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| 0.1187 | 2.68 | 12500 | 0.1513 |
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| 0.0806 | 2.78 | 13000 | 0.1516 |
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| 0.1092 | 2.89 | 13500 | 0.1508 |
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| 0.0996 | 3.0 | 14000 | 0.1503 |
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### Framework versions
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