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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: 3.6642
- Rouge1: 12.9097
- Rouge2: 3.2756
- Rougel: 12.2885
- Rougelsum: 12.3186
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 300 | 5.0305 | 4.4679 | 0.4134 | 4.3487 | 4.2807 |
| 9.3723 | 2.0 | 600 | 3.8535 | 10.6408 | 2.6198 | 10.5538 | 10.5819 |
| 9.3723 | 3.0 | 900 | 3.7590 | 12.1502 | 3.3079 | 12.013 | 12.1208 |
| 4.3429 | 4.0 | 1200 | 3.7019 | 13.0029 | 3.7708 | 12.9759 | 12.876 |
| 4.3429 | 5.0 | 1500 | 3.6782 | 13.1362 | 3.0904 | 12.561 | 12.5702 |
| 4.0043 | 6.0 | 1800 | 3.6698 | 12.8674 | 3.8026 | 12.3664 | 12.4216 |
| 4.0043 | 7.0 | 2100 | 3.6644 | 12.9581 | 3.3843 | 12.407 | 12.3956 |
| 3.872 | 8.0 | 2400 | 3.6642 | 12.9097 | 3.2756 | 12.2885 | 12.3186 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.0+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1
