mt5-small-finetuned-amazon-en-es
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: 3.0348
- Rouge1: 17.5116
- Rouge2: 8.5034
- Rougel: 17.2199
- Rougelsum: 17.0937
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 |
|---|---|---|---|---|---|---|---|
| 6.6706 | 1.0 | 1209 | 3.3114 | 13.1025 | 4.546 | 12.6485 | 12.5756 |
| 3.9103 | 2.0 | 2418 | 3.1923 | 16.1192 | 8.3043 | 15.7004 | 15.6132 |
| 3.5937 | 3.0 | 3627 | 3.0927 | 17.9684 | 9.2115 | 17.5115 | 17.4098 |
| 3.4088 | 4.0 | 4836 | 3.0605 | 17.8543 | 8.4785 | 17.2866 | 17.1586 |
| 3.3178 | 5.0 | 6045 | 3.0501 | 16.029 | 7.6078 | 15.5929 | 15.4296 |
| 3.2438 | 6.0 | 7254 | 3.0422 | 16.645 | 8.345 | 16.3489 | 16.1929 |
| 3.2005 | 7.0 | 8463 | 3.0404 | 16.6148 | 7.5599 | 16.2553 | 16.1232 |
| 3.1792 | 8.0 | 9672 | 3.0348 | 17.5116 | 8.5034 | 17.2199 | 17.0937 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google/mt5-small