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mt5-small11-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: 3.1387
- Rouge1: 16.9142
- Rouge2: 8.3849
- Rougel: 16.3047
- Rougelsum: 16.3944
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 303 | 3.8475 | 8.4475 | 2.0715 | 8.0724 | 8.1338 |
| 7.6451 | 2.0 | 606 | 3.3229 | 13.3087 | 5.3619 | 12.9415 | 12.9456 |
| 7.6451 | 3.0 | 909 | 3.2545 | 14.6953 | 6.0113 | 14.0407 | 14.1568 |
| 4.0402 | 4.0 | 1212 | 3.2019 | 15.7812 | 7.9828 | 15.3358 | 15.3699 |
| 4.0402 | 5.0 | 1515 | 3.1825 | 16.4009 | 8.0668 | 15.8856 | 15.9512 |
| 3.7478 | 6.0 | 1818 | 3.1536 | 16.9352 | 8.4976 | 16.2737 | 16.4293 |
| 3.7478 | 7.0 | 2121 | 3.1394 | 17.0823 | 8.4234 | 16.3758 | 16.5238 |
| 3.6411 | 8.0 | 2424 | 3.1387 | 16.9142 | 8.3849 | 16.3047 | 16.3944 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2
