Peppa-Pig
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: 0.7717
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 |
|---|---|---|---|
| 0.8678 | 1.0 | 280 | 0.8224 |
| 0.7213 | 2.0 | 560 | 0.7908 |
| 0.5963 | 3.0 | 840 | 0.7742 |
| 0.5183 | 4.0 | 1120 | 0.7713 |
| 0.5338 | 5.0 | 1400 | 0.7717 |
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 nanom/Peppa-Pig
Base model
DeepESP/gpt2-spanish