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: 3.0300
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 |
|---|---|---|---|
| 6.6964 | 1.0 | 1209 | 3.3036 |
| 3.9031 | 2.0 | 2418 | 3.1324 |
| 3.5802 | 3.0 | 3627 | 3.0846 |
| 3.4212 | 4.0 | 4836 | 3.0613 |
| 3.3216 | 5.0 | 6045 | 3.0606 |
| 3.2427 | 6.0 | 7254 | 3.0392 |
| 3.2081 | 7.0 | 8463 | 3.0344 |
| 3.1806 | 8.0 | 9672 | 3.0300 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2