mt5-small-finetuned-amazon-en-es-Resumen-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: 3.0910
- Rouge1: 16.3799
- Rouge2: 7.6088
- Rougel: 15.9886
- Rougelsum: 16.1691
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 |
|---|---|---|---|---|---|---|---|
| 7.004 | 1.0 | 1209 | 3.3408 | 13.3874 | 5.2828 | 12.9812 | 12.9666 |
| 3.9036 | 2.0 | 2418 | 3.2286 | 15.9158 | 7.7591 | 15.2863 | 15.3932 |
| 3.598 | 3.0 | 3627 | 3.1778 | 16.0628 | 7.1178 | 15.1227 | 15.2487 |
| 3.4228 | 4.0 | 4836 | 3.1147 | 15.9998 | 7.6239 | 15.3691 | 15.4711 |
| 3.3212 | 5.0 | 6045 | 3.1049 | 16.5369 | 7.743 | 16.2272 | 16.3427 |
| 3.2658 | 6.0 | 7254 | 3.0974 | 17.4125 | 8.0961 | 17.0223 | 17.136 |
| 3.2105 | 7.0 | 8463 | 3.0911 | 16.5786 | 7.7369 | 16.1889 | 16.3189 |
| 3.184 | 8.0 | 9672 | 3.0910 | 16.3799 | 7.6088 | 15.9886 | 16.1691 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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