EN_t5-small_15_spider
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4888
- Rouge2 Precision: 0.5237
- Rouge2 Recall: 0.3349
- Rouge2 Fmeasure: 0.3832
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.4960 | 0.3036 | 0.2109 | 0.2216 |
| 1.0347 | 2.0 | 876 | 0.4496 | 0.3801 | 0.2453 | 0.2721 |
| 0.3664 | 3.0 | 1314 | 0.4839 | 0.4223 | 0.2627 | 0.2999 |
| 0.2966 | 4.0 | 1752 | 0.4671 | 0.457 | 0.2786 | 0.3218 |
| 0.2486 | 5.0 | 2190 | 0.4586 | 0.4628 | 0.2872 | 0.3302 |
| 0.2254 | 6.0 | 2628 | 0.4475 | 0.4873 | 0.3071 | 0.3521 |
| 0.2061 | 7.0 | 3066 | 0.4932 | 0.5017 | 0.3147 | 0.3622 |
| 0.1915 | 8.0 | 3504 | 0.4904 | 0.52 | 0.3331 | 0.3812 |
| 0.1915 | 9.0 | 3942 | 0.4924 | 0.5069 | 0.3189 | 0.3668 |
| 0.179 | 10.0 | 4380 | 0.4941 | 0.5094 | 0.3253 | 0.3721 |
| 0.1714 | 11.0 | 4818 | 0.4865 | 0.5064 | 0.3201 | 0.3672 |
| 0.1655 | 12.0 | 5256 | 0.4825 | 0.5147 | 0.3289 | 0.3762 |
| 0.1604 | 13.0 | 5694 | 0.4730 | 0.5155 | 0.3306 | 0.3776 |
| 0.1584 | 14.0 | 6132 | 0.4873 | 0.5239 | 0.336 | 0.384 |
| 0.1563 | 15.0 | 6570 | 0.4888 | 0.5237 | 0.3349 | 0.3832 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3