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distilgpt2-finetuned-github_cybersecurity_READMEs
shcapybara0925/distilgpt2-finetuned-github_cybersecurity_READMEs
distilgpt2-finetuned-github_cybersecurity_READMEs is a text generation model from shcapybara0925. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 14, 2024
- SHA
- 6791055c
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
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: 5.1579
- F1: 0.0127
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
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 6.1863 | 1.0 | 232 | 5.8725 | 0.0142 |
| 5.7221 | 2.0 | 464 | 5.4602 | 0.0131 |
| 5.4834 | 3.0 | 696 | 5.1579 | 0.0127 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Apr 3, 2024
- Updated
- Apr 14, 2024