mt5-small-finetuned-sk-news
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.7815
- Rouge1: 4.2262
- Rouge2: 0.4191
- Rougel: 3.9794
- Rougelsum: 4.0106
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 24.5955 | 1.0 | 13 | 14.1001 | 3.1611 | 0.5122 | 2.9982 | 3.0234 |
| 21.452 | 2.0 | 26 | 12.4275 | 3.4559 | 0.5141 | 3.2461 | 3.256 |
| 19.6974 | 3.0 | 39 | 11.2369 | 3.5799 | 0.5058 | 3.4025 | 3.4185 |
| 18.2054 | 4.0 | 52 | 10.0774 | 4.0976 | 0.5831 | 3.8641 | 3.8412 |
| 15.314 | 5.0 | 65 | 9.5101 | 3.9583 | 0.4948 | 3.7593 | 3.7337 |
| 14.3465 | 6.0 | 78 | 9.0434 | 4.1681 | 0.437 | 3.8628 | 3.8584 |
| 15.0109 | 7.0 | 91 | 8.8574 | 4.3665 | 0.5 | 4.086 | 4.1242 |
| 15.2609 | 8.0 | 104 | 8.7815 | 4.2262 | 0.4191 | 3.9794 | 4.0106 |
Framework versions
- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2