training completed[prod]: pegasus-bertsum-375
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README.md
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This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 0.09 | 250 | 4.
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### Framework versions
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This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3239
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.09 | 250 | 4.8454 |
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| 5.1263 | 0.18 | 500 | 4.3790 |
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| 5.1263 | 0.27 | 750 | 2.1240 |
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| 2.9498 | 0.35 | 1000 | 1.4592 |
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| 2.9498 | 0.44 | 1250 | 1.4243 |
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| 1.5942 | 0.53 | 1500 | 1.4037 |
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| 1.5942 | 0.62 | 1750 | 1.3871 |
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| 1.4876 | 0.71 | 2000 | 1.3761 |
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| 1.4876 | 0.8 | 2250 | 1.3657 |
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| 1.4686 | 0.89 | 2500 | 1.3607 |
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| 1.4686 | 0.98 | 2750 | 1.3531 |
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| 1.4625 | 1.06 | 3000 | 1.3474 |
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| 1.4625 | 1.15 | 3250 | 1.3426 |
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| 1.4166 | 1.24 | 3500 | 1.3387 |
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| 1.4166 | 1.33 | 3750 | 1.3360 |
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| 1.3918 | 1.42 | 4000 | 1.3324 |
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| 1.3918 | 1.51 | 4250 | 1.3308 |
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| 1.4224 | 1.6 | 4500 | 1.3283 |
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| 1.4224 | 1.68 | 4750 | 1.3270 |
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| 1.3849 | 1.77 | 5000 | 1.3256 |
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| 1.3849 | 1.86 | 5250 | 1.3247 |
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| 1.4033 | 1.95 | 5500 | 1.3239 |
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### Framework versions
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runs/Mar29_18-44-04_06426d312f61/events.out.tfevents.1711737887.06426d312f61.581.0
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size
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version https://git-lfs.github.com/spec/v1
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size 14144
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