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: 2.1217
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2442 | 1.0 | 177 | 2.2206 |
| 2.1964 | 2.0 | 354 | 2.1716 |
| 2.1064 | 3.0 | 531 | 2.1494 |
| 1.9843 | 4.0 | 708 | 2.1374 |
| 1.9402 | 5.0 | 885 | 2.1312 |
| 1.9309 | 6.0 | 1062 | 2.1264 |
| 1.8384 | 7.0 | 1239 | 2.1227 |
| 1.7512 | 8.0 | 1416 | 2.1221 |
| 1.742 | 9.0 | 1593 | 2.1215 |
| 1.8728 | 10.0 | 1770 | 2.1217 |
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 eitansprejer/Julio-Cortazar
Base model
DeepESP/gpt2-spanish