training completed[prod]: pegasus-abs2abs
Browse files
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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| 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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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: 1.2285
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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 | 4.6668 |
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| 4.9697 | 0.18 | 500 | 4.1227 |
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| 4.9697 | 0.27 | 750 | 1.4700 |
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| 2.5705 | 0.36 | 1000 | 1.2933 |
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| 2.5705 | 0.46 | 1250 | 1.2669 |
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| 1.4047 | 0.55 | 1500 | 1.2507 |
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| 1.4047 | 0.64 | 1750 | 1.2454 |
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| 1.3544 | 0.73 | 2000 | 1.2566 |
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| 1.3544 | 0.82 | 2250 | 1.2464 |
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| 1.342 | 0.91 | 2500 | 1.2393 |
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| 1.342 | 1.0 | 2750 | 1.2349 |
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| 1.3258 | 1.09 | 3000 | 1.2312 |
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| 1.3258 | 1.18 | 3250 | 1.2288 |
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| 1.3196 | 1.27 | 3500 | 1.2258 |
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| 1.3196 | 1.37 | 3750 | 1.2251 |
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| 1.3233 | 1.46 | 4000 | 1.2233 |
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| 1.3233 | 1.55 | 4250 | 1.2259 |
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| 1.2873 | 1.64 | 4500 | 1.2274 |
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| 1.2873 | 1.73 | 4750 | 1.2285 |
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### Framework versions
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model.safetensors
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runs/Mar29_22-28-21_af87dc254e48/events.out.tfevents.1711751315.af87dc254e48.369.0
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