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mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7922
- Rouge1: 18.97
- Rouge2: 7.0348
- Rougel: 17.6971
- Rougelsum: 17.882
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 |
---|---|---|---|---|---|---|---|
11.9457 | 1.0 | 151 | 4.4346 | 5.986 | 1.1429 | 5.9458 | 5.7994 |
5.4958 | 2.0 | 302 | 3.4869 | 7.1658 | 1.8822 | 7.2823 | 7.1334 |
4.4559 | 3.0 | 453 | 3.1252 | 8.5582 | 1.605 | 8.3697 | 8.302 |
4.0657 | 4.0 | 604 | 2.9205 | 10.6565 | 3.4667 | 10.4793 | 10.3928 |
3.828 | 5.0 | 755 | 2.8419 | 18.3545 | 6.8241 | 17.013 | 17.3331 |
3.6794 | 6.0 | 906 | 2.8178 | 18.6777 | 7.0318 | 17.2025 | 17.3807 |
3.6205 | 7.0 | 1057 | 2.7984 | 18.8984 | 7.0004 | 17.4826 | 17.7813 |
3.5711 | 8.0 | 1208 | 2.7922 | 18.97 | 7.0348 | 17.6971 | 17.882 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3