mt5-small-finetuned-amazon-en-de
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: 2.6628
- Rouge1: 16.6076
- Rouge2: 9.9027
- Rougel: 16.1974
- Rougelsum: 16.2188
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 |
|---|---|---|---|---|---|---|---|
| 8.2562 | 1.0 | 651 | 3.1075 | 14.737 | 6.9361 | 14.3272 | 14.3439 |
| 4.0951 | 2.0 | 1302 | 2.8909 | 13.9821 | 7.1908 | 13.5966 | 13.6613 |
| 3.7285 | 3.0 | 1953 | 2.7839 | 14.1682 | 7.1028 | 13.8005 | 13.8592 |
| 3.5478 | 4.0 | 2604 | 2.7192 | 15.8804 | 9.6757 | 15.6891 | 15.7287 |
| 3.4295 | 5.0 | 3255 | 2.6939 | 17.5083 | 10.3927 | 17.0418 | 17.0633 |
| 3.3476 | 6.0 | 3906 | 2.6724 | 16.9379 | 10.2269 | 16.6049 | 16.5903 |
| 3.2964 | 7.0 | 4557 | 2.6725 | 16.8053 | 10.1869 | 16.3812 | 16.441 |
| 3.2723 | 8.0 | 5208 | 2.6628 | 16.6076 | 9.9027 | 16.1974 | 16.2188 |
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