gpt2-small-spanish-finetuned-biblia
This model is a fine-tuned version of datificate/gpt2-small-spanish on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5853
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 214 | 3.7050 |
| No log | 2.0 | 428 | 3.6123 |
| 3.8493 | 3.0 | 642 | 3.5853 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
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