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: 3.0235
- Rouge1: 16.8125
- Rouge2: 9.0054
- Rougel: 16.4607
- Rougelsum: 16.3782
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 |
|---|---|---|---|---|---|---|---|
| 3.6964 | 1.0 | 1209 | 3.2660 | 16.5796 | 8.1879 | 16.038 | 15.9964 |
| 3.6612 | 2.0 | 2418 | 3.1208 | 18.3195 | 9.3145 | 17.6299 | 17.567 |
| 3.4414 | 3.0 | 3627 | 3.0604 | 16.2481 | 8.07 | 15.7698 | 15.7559 |
| 3.3168 | 4.0 | 4836 | 3.0624 | 15.8551 | 7.5199 | 15.6639 | 15.4861 |
| 3.2377 | 5.0 | 6045 | 3.0420 | 16.0485 | 7.7961 | 15.817 | 15.6537 |
| 3.1651 | 6.0 | 7254 | 3.0293 | 16.7136 | 8.6636 | 16.5564 | 16.4142 |
| 3.1424 | 7.0 | 8463 | 3.0249 | 17.0907 | 8.6811 | 16.7997 | 16.6651 |
| 3.1144 | 8.0 | 9672 | 3.0235 | 16.8125 | 9.0054 | 16.4607 | 16.3782 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google/mt5-small