---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_keras_callback
model-index:
- name: pippinnie/distilgpt2-finetuned-cyber-readme-v2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# pippinnie/distilgpt2-finetuned-cyber-readme-v2

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:
- Train Loss: 3.3316
- Validation Loss: 3.3671
- Epoch: 7

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.1088     | 3.9258          | 0     |
| 3.9271     | 3.7983          | 1     |
| 3.7845     | 3.6781          | 2     |
| 3.6677     | 3.6006          | 3     |
| 3.5681     | 3.5272          | 4     |
| 3.4803     | 3.4643          | 5     |
| 3.4027     | 3.4068          | 6     |
| 3.3316     | 3.3671          | 7     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2