---
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: 2.1319
- Validation Loss: 3.0536
- Epoch: 49

## 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     |
| 3.2666     | 3.3179          | 8     |
| 3.2072     | 3.2817          | 9     |
| 3.1517     | 3.2565          | 10    |
| 3.1007     | 3.2283          | 11    |
| 3.0527     | 3.2051          | 12    |
| 3.0079     | 3.1826          | 13    |
| 2.9651     | 3.1590          | 14    |
| 2.9245     | 3.1529          | 15    |
| 2.8862     | 3.1404          | 16    |
| 2.8493     | 3.1245          | 17    |
| 2.8147     | 3.1075          | 18    |
| 2.7814     | 3.1077          | 19    |
| 2.7497     | 3.1036          | 20    |
| 2.7186     | 3.0859          | 21    |
| 2.6890     | 3.0722          | 22    |
| 2.6608     | 3.0842          | 23    |
| 2.6327     | 3.0561          | 24    |
| 2.6060     | 3.0477          | 25    |
| 2.5804     | 3.0663          | 26    |
| 2.5552     | 3.0479          | 27    |
| 2.5310     | 3.0426          | 28    |
| 2.5066     | 3.0420          | 29    |
| 2.4842     | 3.0671          | 30    |
| 2.4613     | 3.0414          | 31    |
| 2.4394     | 3.0331          | 32    |
| 2.4184     | 3.0449          | 33    |
| 2.3973     | 3.0265          | 34    |
| 2.3764     | 3.0213          | 35    |
| 2.3568     | 3.0363          | 36    |
| 2.3376     | 3.0359          | 37    |
| 2.3181     | 3.0315          | 38    |
| 2.2992     | 3.0302          | 39    |
| 2.2809     | 3.0305          | 40    |
| 2.2631     | 3.0359          | 41    |
| 2.2456     | 3.0257          | 42    |
| 2.2284     | 3.0328          | 43    |
| 2.2117     | 3.0334          | 44    |
| 2.1949     | 3.0598          | 45    |
| 2.1785     | 3.0490          | 46    |
| 2.1625     | 3.0436          | 47    |
| 2.1466     | 3.0289          | 48    |
| 2.1319     | 3.0536          | 49    |


### Framework versions

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