gpt2-qnli
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3356
- Accuracy: 0.8894
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.387 | 1.0 | 6547 | 0.3051 | 0.8706 |
| 0.3131 | 2.0 | 13094 | 0.3329 | 0.8649 |
| 0.2659 | 3.0 | 19641 | 0.2979 | 0.8889 |
| 0.2127 | 4.0 | 26188 | 0.3356 | 0.8894 |
| 0.1845 | 5.0 | 32735 | 0.3882 | 0.8883 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0