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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: 3.0340
- Rouge1: 17.3678
- Rouge2: 8.5424
- Rougel: 17.0834
- Rougelsum: 17.0364
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 |
|---|---|---|---|---|---|---|---|
| 7.0197 | 1.0 | 1209 | 3.3037 | 13.6109 | 5.452 | 13.1481 | 13.0803 |
| 3.9145 | 2.0 | 2418 | 3.1418 | 15.5948 | 7.5705 | 14.8574 | 14.7619 |
| 3.5987 | 3.0 | 3627 | 3.0970 | 17.5045 | 8.7087 | 16.9058 | 16.7693 |
| 3.4274 | 4.0 | 4836 | 3.0672 | 16.7932 | 8.1293 | 16.1808 | 16.1062 |
| 3.3241 | 5.0 | 6045 | 3.0648 | 16.6776 | 8.2473 | 16.3764 | 16.3019 |
| 3.2468 | 6.0 | 7254 | 3.0444 | 17.2805 | 8.6933 | 17.0081 | 17.0303 |
| 3.2116 | 7.0 | 8463 | 3.0370 | 17.6236 | 8.7376 | 17.298 | 17.2475 |
| 3.1821 | 8.0 | 9672 | 3.0340 | 17.3678 | 8.5424 | 17.0834 | 17.0364 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
