mt5-small-finetuned-news-summary-kaggle
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: 2.5691
- Rouge1: 29.8831
- Rouge2: 11.6462
- Rougel: 26.8481
- Rougelsum: 26.8856
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 |
|---|---|---|---|---|---|---|---|
| 8.1234 | 1.0 | 440 | 3.3123 | 18.1687 | 5.9565 | 16.7581 | 16.7495 |
| 4.2107 | 2.0 | 880 | 2.8404 | 23.0004 | 8.3723 | 20.8424 | 20.9312 |
| 3.738 | 3.0 | 1320 | 2.7354 | 26.5882 | 10.1061 | 23.9299 | 24.0001 |
| 3.4864 | 4.0 | 1760 | 2.6756 | 27.2242 | 10.1775 | 24.4504 | 24.5062 |
| 3.3642 | 5.0 | 2200 | 2.6224 | 28.7857 | 11.5222 | 26.2568 | 26.3167 |
| 3.269 | 6.0 | 2640 | 2.5883 | 29.6623 | 11.7765 | 26.8117 | 26.906 |
| 3.212 | 7.0 | 3080 | 2.5677 | 29.7811 | 11.635 | 26.5844 | 26.6327 |
| 3.186 | 8.0 | 3520 | 2.5691 | 29.8831 | 11.6462 | 26.8481 | 26.8856 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/mt5-small