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toki-pona-better
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5782
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.9908 | 1.0 | 15916 | 1.8937 |
1.8501 | 2.0 | 31832 | 1.7470 |
1.7636 | 3.0 | 47748 | 1.6663 |
1.704 | 4.0 | 63664 | 1.6184 |
1.6656 | 5.0 | 79580 | 1.5890 |
1.6331 | 6.0 | 95496 | 1.5782 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3