gpt2-finetune-id-review-gen
This model is a fine-tuned version of indobenchmark/indogpt on the id-review-gen dataset. It achieves the following results on the evaluation set:
- Loss: 3.6747
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.878 | 1.0 | 5267 | 3.7784 |
| 3.6296 | 2.0 | 10534 | 3.7042 |
| 3.4928 | 3.0 | 15801 | 3.6790 |
| 3.3693 | 4.0 | 21068 | 3.6747 |
| 3.2966 | 5.0 | 26335 | 3.6788 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
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