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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: 3.0350
- Rouge1: 16.6518
- Rouge2: 8.1832
- Rougel: 16.1699
- Rougelsum: 16.0601
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 |
|---|---|---|---|---|---|---|---|
| 7.3905 | 1.0 | 1209 | 3.2983 | 13.402 | 5.4135 | 12.9234 | 12.852 |
| 3.9364 | 2.0 | 2418 | 3.1526 | 16.1149 | 7.5313 | 15.4751 | 15.4605 |
| 3.6115 | 3.0 | 3627 | 3.1062 | 17.8139 | 8.4397 | 16.8909 | 16.9363 |
| 3.4293 | 4.0 | 4836 | 3.0505 | 16.6448 | 8.0447 | 16.049 | 16.0178 |
| 3.3229 | 5.0 | 6045 | 3.0544 | 17.9105 | 8.3992 | 17.2715 | 17.2847 |
| 3.2585 | 6.0 | 7254 | 3.0363 | 17.3411 | 8.5168 | 16.8567 | 16.7823 |
| 3.2084 | 7.0 | 8463 | 3.0302 | 16.4229 | 8.1407 | 15.9939 | 15.8793 |
| 3.1886 | 8.0 | 9672 | 3.0350 | 16.6518 | 8.1832 | 16.1699 | 16.0601 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.9.0
- Tokenizers 0.13.2
