gpt2-finetuned-cola
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3976
- Matthews Correlation: 0.4246
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.3796 | 1.0 | 535 | 0.6729 | 0.3501 |
| 0.2829 | 2.0 | 1070 | 0.7611 | 0.3694 |
| 0.2215 | 3.0 | 1605 | 1.1312 | 0.3581 |
| 0.1993 | 4.0 | 2140 | 1.1153 | 0.3573 |
| 0.2185 | 5.0 | 2675 | 0.9811 | 0.4067 |
| 0.2188 | 6.0 | 3210 | 1.0690 | 0.4195 |
| 0.1921 | 7.0 | 3745 | 1.0713 | 0.3847 |
| 0.1642 | 8.0 | 4280 | 1.3494 | 0.4106 |
| 0.1585 | 9.0 | 4815 | 1.3976 | 0.4246 |
| 0.136 | 10.0 | 5350 | 1.4390 | 0.4158 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1