training completed[prod]: pegasus-abs2abs
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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 | 5.
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| 1.4166 | 0.8 | 2250 | 1.2883 |
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| 1.4654 | 0.89 | 2500 | 1.2891 |
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| 1.4654 | 0.98 | 2750 | 1.2884 |
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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: 1.3179
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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 | 5.1004 |
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| 5.3707 | 0.18 | 500 | 4.3752 |
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| 5.3707 | 0.27 | 750 | 1.4387 |
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| 2.5676 | 0.36 | 1000 | 1.3193 |
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| 2.5676 | 0.46 | 1250 | 1.3070 |
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| 1.4301 | 0.55 | 1500 | 1.3189 |
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| 1.4301 | 0.64 | 1750 | 1.3252 |
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| 1.4417 | 0.73 | 2000 | 1.3179 |
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### Framework versions
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model.safetensors
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runs/Apr02_11-52-29_c34365d53564/events.out.tfevents.1712058759.c34365d53564.156.0
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