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vaz_de_camoes
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.0035
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
9.9899 | 0.64 | 10 | 9.2458 |
8.7942 | 1.28 | 20 | 8.1070 |
7.5397 | 1.92 | 30 | 7.3030 |
6.9869 | 2.56 | 40 | 7.2674 |
6.8538 | 3.2 | 50 | 7.1175 |
6.711 | 3.84 | 60 | 7.0683 |
6.5318 | 4.48 | 70 | 7.0035 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3