modelo-personalizado
This model is a fine-tuned version of DeepESP/gpt2-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2474
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 2.4931 |
| No log | 2.0 | 2 | 0.4451 |
| No log | 3.0 | 3 | 0.2765 |
| No log | 4.0 | 4 | 0.2669 |
| 1.8647 | 5.0 | 5 | 0.2618 |
| 1.8647 | 6.0 | 6 | 0.2572 |
| 1.8647 | 7.0 | 7 | 0.2533 |
| 1.8647 | 8.0 | 8 | 0.2504 |
| 1.8647 | 9.0 | 9 | 0.2484 |
| 0.2763 | 10.0 | 10 | 0.2474 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
DeepESP/gpt2-spanish