mt5-small-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: 2.3419
- Rouge1: 6.9313
- Rouge2: 1.9587
- Rougel: 6.8503
- Rougelsum: 6.9385
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 |
|---|---|---|---|---|---|---|---|
| 4.4281 | 1.0 | 1250 | 2.5899 | 7.0481 | 2.0747 | 6.9849 | 7.0179 |
| 3.2368 | 2.0 | 2500 | 2.4568 | 6.7532 | 1.7462 | 6.6934 | 6.7462 |
| 3.0526 | 3.0 | 3750 | 2.4315 | 6.6106 | 1.9088 | 6.5307 | 6.5784 |
| 2.9412 | 4.0 | 5000 | 2.3882 | 7.0644 | 1.9283 | 6.9687 | 7.0399 |
| 2.8711 | 5.0 | 6250 | 2.3700 | 7.2808 | 1.9358 | 7.2006 | 7.2603 |
| 2.8193 | 6.0 | 7500 | 2.3604 | 7.0911 | 1.9737 | 6.9918 | 7.0491 |
| 2.7866 | 7.0 | 8750 | 2.3479 | 6.9948 | 2.0044 | 6.8824 | 6.9737 |
| 2.7699 | 8.0 | 10000 | 2.3419 | 6.9313 | 1.9587 | 6.8503 | 6.9385 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/mt5-small