flan-t5-small-proverb-es-classification-paremia-features
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0404
- Accuracy: 96.4772
- Gen Len: 2.6711
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Gen Len |
|---|---|---|---|---|---|
| 0.1053 | 1.0 | 1875 | 0.0432 | 95.9739 | 2.6844 |
| 0.0446 | 2.0 | 3750 | 0.0404 | 96.4772 | 2.6711 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.19.1