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: 2.3962
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3794 | 1.0 | 1416 | 2.4410 |
| 2.2936 | 2.0 | 2832 | 2.4003 |
| 2.0513 | 3.0 | 4248 | 2.3910 |
| 2.0359 | 4.0 | 5664 | 2.3917 |
| 1.8027 | 5.0 | 7080 | 2.3962 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for Joacopolo/Julio-Cortazar
Base model
DeepESP/gpt2-spanish