gpt2-completion-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: 1.2807
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5971 | 1.0 | 2065 | 1.5028 |
| 1.4759 | 2.0 | 4130 | 1.4118 |
| 1.4151 | 3.0 | 6195 | 1.3649 |
| 1.3746 | 4.0 | 8260 | 1.3400 |
| 1.3533 | 5.0 | 10325 | 1.3165 |
| 1.3273 | 6.0 | 12390 | 1.3030 |
| 1.306 | 7.0 | 14455 | 1.2944 |
| 1.2946 | 8.0 | 16520 | 1.2879 |
| 1.2829 | 9.0 | 18585 | 1.2814 |
| 1.2818 | 10.0 | 20650 | 1.2807 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
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Model tree for affahrizain/gpt2-completion-finetune-id-review-gen
Base model
indobenchmark/indogpt