<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 2.7569
- Rouge1: 18.0555
- Rouge2: 9.7451
- Rougel: 17.6297
- Rougelsum: 17.5489
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: 5e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.7527 | 1.0 | 3665 | 2.8879 | 18.3899 | 10.2549 | 17.9226 | 17.8373 |
| 3.1875 | 2.0 | 7330 | 2.7905 | 17.6365 | 9.271 | 17.1788 | 17.0681 |
| 3.0707 | 3.0 | 10995 | 2.7601 | 17.8343 | 9.5332 | 17.4487 | 17.3742 |
| 3.0107 | 4.0 | 14660 | 2.7569 | 18.0555 | 9.7451 | 17.6297 | 17.5489 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
