mt5-small-finetuned-tr-news
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: 2.3748
- Rouge1: 25.2124
- Rouge2: 13.3894
- Rougel: 22.4063
- Rougelsum: 22.9668
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 |
|---|---|---|---|---|---|---|---|
| 5.5375 | 1.0 | 875 | 2.5866 | 22.5826 | 11.7162 | 19.8221 | 20.1884 |
| 3.3129 | 2.0 | 1750 | 2.5237 | 23.8445 | 12.7539 | 21.3485 | 21.7204 |
| 3.0876 | 3.0 | 2625 | 2.4728 | 24.1288 | 12.5373 | 21.4068 | 21.8723 |
| 2.9685 | 4.0 | 3500 | 2.4348 | 25.3884 | 13.3569 | 22.5336 | 23.0989 |
| 2.8886 | 5.0 | 4375 | 2.4043 | 25.5798 | 13.7628 | 22.7085 | 23.2025 |
| 2.836 | 6.0 | 5250 | 2.3813 | 24.93 | 13.2058 | 22.2455 | 22.6959 |
| 2.8069 | 7.0 | 6125 | 2.3800 | 24.8104 | 12.9556 | 22.1114 | 22.6108 |
| 2.7813 | 8.0 | 7000 | 2.3748 | 25.2124 | 13.3894 | 22.4063 | 22.9668 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google/mt5-small