mt5_book_review_summary
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: 3.0872
- Rouge1: 0.1076
- Rouge2: 0.0395
- Rougel: 0.1063
- Rougelsum: 0.1062
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 6.5856 | 1.0 | 2202 | 3.2410 | 0.0882 | 0.0321 | 0.0879 | 0.0879 |
| 3.7769 | 2.0 | 4404 | 3.1136 | 0.1081 | 0.0373 | 0.1067 | 0.1069 |
| 3.5597 | 3.0 | 6606 | 3.0872 | 0.1076 | 0.0395 | 0.1063 | 0.1062 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2