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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: 3.0270
- Rouge1: 16.9866
- Rouge2: 8.4614
- Rougel: 16.484
- Rougelsum: 16.6388
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 |
|---|---|---|---|---|---|---|---|
| 6.9791 | 1.0 | 1209 | 3.3127 | 13.2057 | 5.6236 | 12.856 | 12.9369 |
| 3.9087 | 2.0 | 2418 | 3.1392 | 16.5366 | 7.8474 | 15.7781 | 15.7997 |
| 3.588 | 3.0 | 3627 | 3.0870 | 17.6214 | 8.8031 | 17.0347 | 17.1196 |
| 3.4143 | 4.0 | 4836 | 3.0525 | 16.5647 | 8.2045 | 15.967 | 16.0259 |
| 3.3263 | 5.0 | 6045 | 3.0600 | 16.7381 | 7.8033 | 16.1291 | 16.1999 |
| 3.2487 | 6.0 | 7254 | 3.0288 | 16.8767 | 8.5432 | 16.4201 | 16.5014 |
| 3.2112 | 7.0 | 8463 | 3.0318 | 17.125 | 8.3547 | 16.5445 | 16.6221 |
| 3.1817 | 8.0 | 9672 | 3.0270 | 16.9866 | 8.4614 | 16.484 | 16.6388 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2
