metadata
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-finetuned-github_cybersecurity_READMEs
results: []
distilgpt2-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4183
- Accuracy: 0.0638
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 | 5.5937 | 0.0605 |
| No log | 2.0 | 29 | 5.5611 | 0.0612 |
| No log | 2.97 | 43 | 5.5172 | 0.0618 |
| No log | 4.0 | 58 | 5.4642 | 0.0631 |
| No log | 4.83 | 70 | 5.4183 | 0.0638 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2