TisaleoGPT
This model is a fine-tuned version of DeepESP/gpt2-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5160
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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 | 63 | 0.7947 |
| No log | 2.0 | 126 | 0.6617 |
| No log | 3.0 | 189 | 0.6009 |
| No log | 4.0 | 252 | 0.5688 |
| No log | 5.0 | 315 | 0.5466 |
| No log | 6.0 | 378 | 0.5336 |
| No log | 7.0 | 441 | 0.5241 |
| 0.6646 | 8.0 | 504 | 0.5199 |
| 0.6646 | 9.0 | 567 | 0.5167 |
| 0.6646 | 10.0 | 630 | 0.5160 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
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Model tree for IAMRS23/TisaleoGPT
Base model
DeepESP/gpt2-spanish