mt5-small-finetuned-amazon-en-es
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: 3.0197
- Rouge1: 16.6252
- Rouge2: 7.8463
- Rougel: 16.5669
- Rougelsum: 16.5091
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.9379 | 1.0 | 1209 | 3.3203 | 19.0063 | 9.7984 | 18.5969 | 18.4743 |
| 3.5668 | 2.0 | 2418 | 3.0886 | 17.4365 | 8.614 | 17.0761 | 17.0194 |
| 3.3727 | 3.0 | 3627 | 3.0707 | 16.7181 | 8.3534 | 16.5387 | 16.4384 |
| 3.2658 | 4.0 | 4836 | 3.0663 | 16.7178 | 8.2583 | 16.5202 | 16.4407 |
| 3.1784 | 5.0 | 6045 | 3.0332 | 16.6095 | 7.7741 | 16.3874 | 16.3206 |
| 3.1276 | 6.0 | 7254 | 3.0291 | 16.2199 | 7.3083 | 15.9939 | 15.8797 |
| 3.1038 | 7.0 | 8463 | 3.0194 | 16.5163 | 7.8339 | 16.3592 | 16.2554 |
| 3.0796 | 8.0 | 9672 | 3.0197 | 16.6252 | 7.8463 | 16.5669 | 16.5091 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small