mt5-small-finetuned-icelandic-summary
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3019
- Rouge1: 24.5314
- Rouge2: 13.108
- Rougel: 21.8551
- Rougelsum: 22.5551
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 |
|---|---|---|---|---|---|---|---|
| 4.2489 | 1.0 | 1914 | 2.6014 | 17.9396 | 6.9767 | 15.0632 | 15.8916 |
| 3.0569 | 2.0 | 3828 | 2.4547 | 21.317 | 10.0433 | 18.6257 | 19.3813 |
| 2.8661 | 3.0 | 5742 | 2.3843 | 23.6521 | 12.2829 | 21.0046 | 21.7077 |
| 2.7543 | 4.0 | 7656 | 2.3642 | 23.8878 | 12.7041 | 21.3321 | 22.0867 |
| 2.682 | 5.0 | 9570 | 2.3379 | 24.2206 | 12.9703 | 21.6077 | 22.3493 |
| 2.6276 | 6.0 | 11484 | 2.2974 | 24.5156 | 13.1087 | 21.8464 | 22.5609 |
| 2.588 | 7.0 | 13398 | 2.3012 | 24.7653 | 13.3338 | 22.0548 | 22.762 |
| 2.5723 | 8.0 | 15312 | 2.3019 | 24.5314 | 13.108 | 21.8551 | 22.5551 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0