news-summary-t5-model-2
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: 29.9122
- Rouge2: 11.6784
- Rougel: 26.812
- Rougelsum: 26.8345
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 | 18.1585 | 5.9435 | 16.7364 | 16.7646 |
| 4.2107 | 2.0 | 880 | 2.8404 | 22.9864 | 8.3815 | 20.8354 | 20.9346 |
| 3.738 | 3.0 | 1320 | 2.7354 | 26.5984 | 10.0823 | 23.912 | 23.9585 |
| 3.4864 | 4.0 | 1760 | 2.6756 | 27.1487 | 10.1681 | 24.3788 | 24.4672 |
| 3.3642 | 5.0 | 2200 | 2.6224 | 28.7513 | 11.5416 | 26.2106 | 26.2335 |
| 3.269 | 6.0 | 2640 | 2.5883 | 29.6461 | 11.8038 | 26.7581 | 26.7764 |
| 3.212 | 7.0 | 3080 | 2.5677 | 29.8037 | 11.6582 | 26.5532 | 26.5455 |
| 3.186 | 8.0 | 3520 | 2.5691 | 29.9122 | 11.6784 | 26.812 | 26.8345 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
google/mt5-small