---
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-finetuned-cybersecurity
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-finetuned-cybersecurity

This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4812
- Accuracy: 0.1575

## 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: 1e-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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.6492        | 1.0   | 21830 | 2.6045          | 0.1576   |
| 2.5026        | 2.0   | 43660 | 2.5068          | 0.1568   |
| 2.4877        | 3.0   | 65490 | 2.4812          | 0.1575   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2