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mt5-small-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: 3.0296
- Rouge1: 18.0335
- Rouge2: 8.816
- Rougel: 17.5279
- Rougelsum: 17.6189
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: 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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
6.9312 | 1.0 | 1209 | 3.2984 | 14.4268 | 6.4451 | 14.0547 | 14.1363 |
3.8882 | 2.0 | 2418 | 3.1272 | 17.1618 | 8.7776 | 16.4569 | 16.5079 |
3.578 | 3.0 | 3627 | 3.0798 | 17.9251 | 9.2806 | 17.4056 | 17.3871 |
3.4191 | 4.0 | 4836 | 3.0671 | 17.6256 | 8.8731 | 16.975 | 17.0113 |
3.3193 | 5.0 | 6045 | 3.0605 | 17.9539 | 8.7188 | 17.4034 | 17.4726 |
3.2434 | 6.0 | 7254 | 3.0387 | 17.0668 | 8.2769 | 16.5612 | 16.6636 |
3.208 | 7.0 | 8463 | 3.0338 | 17.2954 | 8.4547 | 16.7602 | 16.8175 |
3.1812 | 8.0 | 9672 | 3.0296 | 18.0335 | 8.816 | 17.5279 | 17.6189 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2