mt5-small-finetuned-amazon-en-de
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6824
- Rouge1: 16.5188
- Rouge2: 9.9087
- Rougel: 16.3497
- Rougelsum: 16.3207
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 |
|---|---|---|---|---|---|---|---|
| 8.4221 | 1.0 | 651 | 3.1302 | 13.8418 | 6.2062 | 13.6147 | 13.7041 |
| 4.1085 | 2.0 | 1302 | 2.8969 | 13.842 | 7.0502 | 13.6309 | 13.7681 |
| 3.7329 | 3.0 | 1953 | 2.8285 | 13.4412 | 6.5045 | 13.2123 | 13.1854 |
| 3.5489 | 4.0 | 2604 | 2.7547 | 16.8572 | 9.781 | 16.8349 | 16.8095 |
| 3.4223 | 5.0 | 3255 | 2.7334 | 16.7217 | 9.9946 | 16.5297 | 16.5576 |
| 3.3509 | 6.0 | 3906 | 2.6994 | 16.8925 | 10.2889 | 16.7603 | 16.7358 |
| 3.2895 | 7.0 | 4557 | 2.6871 | 16.4238 | 9.974 | 16.3198 | 16.2857 |
| 3.281 | 8.0 | 5208 | 2.6824 | 16.5188 | 9.9087 | 16.3497 | 16.3207 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
google/mt5-small