---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-finetuned-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. -->

# distilgpt2-finetuned-github_cybersecurity_READMEs

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4529
- Accuracy: 0.0699

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.97  | 14   | 5.6664          | 0.0648   |
| No log        | 2.0   | 29   | 5.6299          | 0.0653   |
| No log        | 2.97  | 43   | 5.5792          | 0.0660   |
| No log        | 4.0   | 58   | 5.5133          | 0.0664   |
| No log        | 4.83  | 70   | 5.4529          | 0.0699   |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2