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---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-finetuned-github_cybersecurity_READMEs
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-github_cybersecurity_READMEs
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:
- Loss: 5.4529
- Accuracy: 0.0699
## 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 | 5.6664 | 0.0648 |
| No log | 2.0 | 29 | 5.6299 | 0.0653 |
| No log | 2.97 | 43 | 5.5792 | 0.0660 |
| No log | 4.0 | 58 | 5.5133 | 0.0664 |
| No log | 4.83 | 70 | 5.4529 | 0.0699 |
### Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|