metadata
license: apache-2.0
base_model: distilbert/distilgpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-finetuned-cybersecurity
results: []
distilgpt2-finetuned-cybersecurity
This model is a fine-tuned version of 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