This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 7.2339 | 0.27 | 10 | 4.7620 | 0.0453 | 0.0225 | 0.03 |
| 4.3192 | 0.53 | 20 | 4.0073 | 0.0589 | 0.0336 | 0.0427 |
| 3.9608 | 0.8 | 30 | 3.6537 | 0.0866 | 0.0623 | 0.0722 |
| 3.7992 | 1.07 | 40 | 3.4747 | 0.091 | 0.0708 | 0.0795 |
| 3.7694 | 1.33 | 50 | 3.3968 | 0.0898 | 0.0721 | 0.0799 |
| 3.5839 | 1.6 | 60 | 3.3600 | 0.0992 | 0.0813 | 0.089 |
| 3.5573 | 1.87 | 70 | 3.3428 | 0.0931 | 0.0781 | 0.0848 |
pytorch_model.bin 242 MBtraining_args.bin 3.7 kB