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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: 3.0329
- Rouge1: 16.3034
- Rouge2: 7.8192
- Rougel: 16.0316
- Rougelsum: 15.9173
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 |
|---|---|---|---|---|---|---|---|
| 7.0891 | 1.0 | 1209 | 3.2989 | 13.8686 | 6.1132 | 13.3657 | 13.3454 |
| 3.9283 | 2.0 | 2418 | 3.1443 | 16.3537 | 7.9374 | 15.8565 | 15.7281 |
| 3.5985 | 3.0 | 3627 | 3.1004 | 17.9042 | 9.1908 | 17.5268 | 17.385 |
| 3.4285 | 4.0 | 4836 | 3.0578 | 16.3118 | 8.4563 | 15.9252 | 15.9109 |
| 3.3222 | 5.0 | 6045 | 3.0587 | 17.5106 | 8.6579 | 17.2096 | 17.1079 |
| 3.2554 | 6.0 | 7254 | 3.0497 | 16.9153 | 8.0973 | 16.5874 | 16.4807 |
| 3.2085 | 7.0 | 8463 | 3.0309 | 16.3789 | 7.9306 | 16.1233 | 16.0097 |
| 3.1856 | 8.0 | 9672 | 3.0329 | 16.3034 | 7.8192 | 16.0316 | 15.9173 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
