gpt2-mrpc
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4705
- Accuracy: 0.7941
- F1: 0.8571
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: 32
- eval_batch_size: 32
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 115 | 0.5677 | 0.7377 | 0.8366 |
| No log | 2.0 | 230 | 0.5326 | 0.7647 | 0.8471 |
| No log | 3.0 | 345 | 0.4831 | 0.7868 | 0.8552 |
| No log | 4.0 | 460 | 0.4705 | 0.7941 | 0.8571 |
| 0.5073 | 5.0 | 575 | 0.4779 | 0.7941 | 0.8576 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0