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: 0.7709
Model description
More information needed
Intended uses & limitations
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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 |
---|---|---|---|
0.8364 | 1.0 | 280 | 0.8232 |
0.772 | 2.0 | 560 | 0.7865 |
0.6118 | 3.0 | 840 | 0.7754 |
0.6123 | 4.0 | 1120 | 0.7705 |
0.4645 | 5.0 | 1400 | 0.7709 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
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Model tree for jbarsce/Peppa-Pig
Base model
DeepESP/gpt2-spanish