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mt5-small-finetuned-amazon_beauty-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: 2.5514
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 |
|---|---|---|---|
| 5.0203 | 1.0 | 2915 | 2.8297 |
| 3.1396 | 2.0 | 5830 | 2.6905 |
| 2.9323 | 3.0 | 8745 | 2.6299 |
| 2.8118 | 4.0 | 11660 | 2.5940 |
| 2.7327 | 5.0 | 14575 | 2.5700 |
| 2.6854 | 6.0 | 17490 | 2.5586 |
| 2.6396 | 7.0 | 20405 | 2.5591 |
| 2.6176 | 8.0 | 23320 | 2.5514 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
