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: 17.415
- Rouge2: 8.4435
- Rougel: 17.0161
- Rougelsum: 16.9823
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 | 13.6928 | 5.4115 | 13.0883 | 13.0693 |
| 3.9145 | 2.0 | 2418 | 3.1418 | 15.5533 | 7.5026 | 14.9267 | 14.7783 |
| 3.5987 | 3.0 | 3627 | 3.0970 | 17.4999 | 8.626 | 16.9165 | 16.8148 |
| 3.4274 | 4.0 | 4836 | 3.0672 | 16.8867 | 8.0271 | 16.1676 | 16.071 |
| 3.3241 | 5.0 | 6045 | 3.0648 | 16.7403 | 8.1483 | 16.3583 | 16.2492 |
| 3.2468 | 6.0 | 7254 | 3.0444 | 17.2975 | 8.4946 | 16.9321 | 16.9495 |
| 3.2116 | 7.0 | 8463 | 3.0370 | 17.6653 | 8.6485 | 17.2213 | 17.218 |
| 3.1821 | 8.0 | 9672 | 3.0340 | 17.415 | 8.4435 | 17.0161 | 16.9823 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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