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: 2.6907
- Rouge1: 26.6547
- Rouge2: 10.1
- Rougel: 24.0137
- Rougelsum: 23.9999
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
https://www.kaggle.com/datasets/sunnysai12345/news-summary
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 220 | 3.9956 | 14.9021 | 3.3744 | 13.4763 | 13.499 |
| 8.3183 | 2.0 | 440 | 3.1550 | 17.9472 | 5.9671 | 16.6974 | 16.6959 |
| 8.3183 | 3.0 | 660 | 2.8950 | 21.2665 | 7.4266 | 19.5041 | 19.4837 |
| 4.0457 | 4.0 | 880 | 2.8087 | 25.063 | 9.4484 | 22.746 | 22.7351 |
| 4.0457 | 5.0 | 1100 | 2.7375 | 25.5269 | 9.4299 | 23.0623 | 23.0075 |
| 3.6505 | 6.0 | 1320 | 2.7091 | 25.8308 | 9.3392 | 23.2001 | 23.1586 |
| 3.6505 | 7.0 | 1540 | 2.6949 | 26.2177 | 9.8536 | 23.5946 | 23.6358 |
| 3.5175 | 8.0 | 1760 | 2.6907 | 26.6547 | 10.1 | 24.0137 | 23.9999 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/mt5-small