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: 0.2462
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.543 | 0.11 | 500 | 0.3991 |
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| 0.4213 | 0.21 | 1000 | 0.3544 |
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| 0.3907 | 0.32 | 1500 | 0.3328 |
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| 0.4101 | 0.43 | 2000 | 0.3178 |
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| 0.2998 | 0.54 | 2500 | 0.3148 |
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| 0.3549 | 0.64 | 3000 | 0.2948 |
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| 0.3401 | 0.75 | 3500 | 0.2861 |
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| 0.3304 | 0.86 | 4000 | 0.2802 |
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| 0.3404 | 0.96 | 4500 | 0.2749 |
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| 0.2548 | 1.07 | 5000 | 0.2730 |
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| 0.2725 | 1.18 | 5500 | 0.2696 |
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| 0.2305 | 1.28 | 6000 | 0.2755 |
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| 0.2424 | 1.39 | 6500 | 0.2647 |
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| 0.2638 | 1.5 | 7000 | 0.2601 |
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| 0.2276 | 1.61 | 7500 | 0.2622 |
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| 0.2299 | 1.71 | 8000 | 0.2587 |
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| 0.2817 | 1.82 | 8500 | 0.2519 |
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| 0.2252 | 1.93 | 9000 | 0.2505 |
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| 0.2022 | 2.03 | 9500 | 0.2554 |
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| 0.1722 | 2.14 | 10000 | 0.2558 |
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| 0.1878 | 2.25 | 10500 | 0.2546 |
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| 0.2093 | 2.35 | 11000 | 0.2521 |
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| 0.1656 | 2.46 | 11500 | 0.2513 |
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| 0.1921 | 2.57 | 12000 | 0.2478 |
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| 0.1754 | 2.68 | 12500 | 0.2468 |
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| 0.2081 | 2.78 | 13000 | 0.2469 |
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| 0.1707 | 2.89 | 13500 | 0.2472 |
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| 0.2068 | 3.0 | 14000 | 0.2462 |
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### Framework versions
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