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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: 9.2585
- Rouge1: 6.1835
- Rouge2: 0.0
- Rougel: 5.8333
- Rougelsum: 6.1835
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 |
|---|---|---|---|---|---|---|---|
| 24.1065 | 1.0 | 11 | 32.7123 | 7.342 | 1.5385 | 7.1515 | 7.342 |
| 22.6474 | 2.0 | 22 | 19.7137 | 6.1039 | 0.0 | 5.7143 | 6.1039 |
| 16.319 | 3.0 | 33 | 12.8543 | 6.1039 | 0.0 | 5.7143 | 6.1039 |
| 16.3224 | 4.0 | 44 | 10.1929 | 5.9524 | 0.0 | 5.7143 | 5.9524 |
| 15.0599 | 5.0 | 55 | 9.9186 | 5.9524 | 0.0 | 5.7143 | 5.9524 |
| 14.6053 | 6.0 | 66 | 9.3235 | 6.1835 | 0.0 | 5.8333 | 6.1835 |
| 14.4345 | 7.0 | 77 | 9.1621 | 6.1835 | 0.0 | 5.8333 | 6.1835 |
| 13.7973 | 8.0 | 88 | 9.2585 | 6.1835 | 0.0 | 5.8333 | 6.1835 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
