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---
base_model: geralt/MechDistilGPT2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: github_cybersecurity_READMEs
results: []
---
<!-- 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. -->
# github_cybersecurity_READMEs
This model is a fine-tuned version of [geralt/MechDistilGPT2](https://huggingface.co/geralt/MechDistilGPT2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.7201
- Accuracy: 0.0193
## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 13 | 10.5158 | 0.0045 |
| No log | 2.0 | 26 | 9.9496 | 0.0123 |
| No log | 3.0 | 39 | 9.7201 | 0.0193 |
### Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|