<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
gpt2_ai
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0726
- Accuracy: {'accuracy': 0.7653572116310418}
- F1: 0.7533
- Recall: 0.9877
- Precision: 0.6830
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 1.08 | 1.0 | 12117 | 2.2499 | {'accuracy': 0.6709512805699981} | 0.6326 | 0.9957 | 0.6029 |
| 1.03 | 2.0 | 24234 | 1.0726 | {'accuracy': 0.7653572116310418} | 0.7533 | 0.9877 | 0.6830 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
