flan-t5-large-proverb-es-classification-trigramas-oraciones-trigramas
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0420
- Accuracy: 96.9509
- Gen Len: 2.6699
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|
| 0.075 | 1.0 | 7500 | 0.0460 | 96.4772 | 2.6906 |
| 0.0219 | 2.0 | 15000 | 0.0420 | 96.9509 | 2.6699 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.19.1
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Base model
google/flan-t5-large