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Julio-Cortazar
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: 2.8442
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: 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8988 | 1.0 | 708 | 2.9190 |
| 2.6591 | 2.0 | 1416 | 2.8647 |
| 2.6087 | 3.0 | 2124 | 2.8477 |
| 2.4436 | 4.0 | 2832 | 2.8415 |
| 2.2453 | 5.0 | 3540 | 2.8427 |
| 2.2951 | 6.0 | 4248 | 2.8442 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
