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fake_buzz_gpt
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5716
- Accuracy: {'accuracy': 0.7912772585669782}
- F1: 0.7018
- Recall: 0.9961
- Precision: 0.7937
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: 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 321 | 0.5149 | {'accuracy': 0.7881619937694704} | 0.7003 | 0.9922 | 0.7931 |
| 1.2017 | 2.0 | 642 | 0.5716 | {'accuracy': 0.7912772585669782} | 0.7018 | 0.9961 | 0.7937 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
