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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: 3.1185
- Rouge1: 17.2081
- Rouge2: 8.8374
- Rougel: 16.8033
- Rougelsum: 16.663
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 | 3.9821 | 8.3993 | 2.0894 | 8.1427 | 8.135 |
| No log | 2.0 | 606 | 3.3511 | 13.1381 | 5.7193 | 12.8494 | 12.8375 |
| No log | 3.0 | 909 | 3.2235 | 15.2502 | 6.5903 | 14.728 | 14.612 |
| 5.8943 | 4.0 | 1212 | 3.1695 | 16.1725 | 8.1638 | 15.7655 | 15.6068 |
| 5.8943 | 5.0 | 1515 | 3.1579 | 16.3126 | 7.9727 | 15.8308 | 15.7236 |
| 5.8943 | 6.0 | 1818 | 3.1346 | 16.8323 | 8.088 | 16.3863 | 16.3343 |
| 5.8943 | 7.0 | 2121 | 3.1181 | 16.965 | 8.5799 | 16.6418 | 16.5064 |
| 3.7097 | 8.0 | 2424 | 3.1185 | 17.2081 | 8.8374 | 16.8033 | 16.663 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1
- Datasets 1.17.0
- Tokenizers 0.10.3
