kancilgpt
This model is a fine-tuned version of indobenchmark/indogpt on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9630
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.224 | 1.0 | 805 | 1.8612 |
| 0.8299 | 2.0 | 1610 | 1.9347 |
| 0.7022 | 3.0 | 2415 | 1.9630 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0