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UNIST-Eunchan/NLP-Paper-to-QA-Generation
NLP-Paper-to-QA-Generation is a machine learning model from UNIST-Eunchan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.99 | 46 | 4.8204 |
| 5.3975 | 1.99 | 92 | 4.4450 |
| 5.3975 | 2.98 | 138 | 3.9634 |
| 4.494 | 3.97 | 184 | 3.4658 |
| 4.494 | 4.97 | 230 | 3.1863 |
| 3.5664 | 5.96 | 276 | 3.0828 |
| 3.5664 | 6.95 | 322 | 3.0403 |
| 3.2954 | 7.95 | 368 | 3.0155 |
| 3.2954 | 8.94 | 414 | 2.9989 |
| 3.1918 | 9.93 | 460 | 2.9826 |
| 3.1918 | 10.93 | 506 | 2.9742 |
| 3.1547 | 11.92 | 552 | 2.9670 |
| 3.1547 | 12.91 | 598 | 2.9620 |
| 3.1233 | 13.91 | 644 | 2.9601 |
| 3.1233 | 14.9 | 690 | 2.9593 |