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: 2.6490
- Rouge1: 17.4502
- Rouge2: 10.6692
- Rougel: 17.1908
- Rougelsum: 17.2891
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 |
|---|---|---|---|---|---|---|---|
| 8.5972 | 1.0 | 651 | 3.1283 | 14.8141 | 7.1026 | 14.6207 | 14.5524 |
| 4.1148 | 2.0 | 1302 | 2.8710 | 14.5174 | 6.9202 | 14.1471 | 14.2004 |
| 3.7447 | 3.0 | 1953 | 2.8028 | 13.9172 | 7.2051 | 13.8524 | 13.8559 |
| 3.537 | 4.0 | 2604 | 2.7263 | 17.4003 | 10.2674 | 17.2983 | 17.3666 |
| 3.4368 | 5.0 | 3255 | 2.6791 | 17.722 | 10.4401 | 17.4949 | 17.5327 |
| 3.3467 | 6.0 | 3906 | 2.6559 | 17.2255 | 10.2332 | 17.1067 | 17.1191 |
| 3.3096 | 7.0 | 4557 | 2.6530 | 17.9659 | 11.0035 | 17.7655 | 17.8441 |
| 3.268 | 8.0 | 5208 | 2.6490 | 17.4502 | 10.6692 | 17.1908 | 17.2891 |
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