---
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