distilgpt2-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1849
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4779 | 1.0 | 23953 | 2.3422 |
| 2.3386 | 2.0 | 47906 | 2.2182 |
| 2.2702 | 3.0 | 71859 | 2.1849 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.19.1
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Model tree for Mou11209203/distilgpt2-finetuned-github_cybersecurity_READMEs
Base model
distilbert/distilgpt2