---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilgpt2-HC3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-HC3

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9983
- Accuracy: 0.5441

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 3208
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 6.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.2485        | 0.98  | 41   | 2.1457          | 0.5158   |
| 2.0757        | 1.98  | 82   | 2.0584          | 0.5304   |
| 1.966         | 2.98  | 123  | 2.0210          | 0.5376   |
| 1.8602        | 3.98  | 164  | 2.0012          | 0.5422   |
| 1.8089        | 4.98  | 205  | 1.9977          | 0.5436   |
| 1.7698        | 5.98  | 246  | 1.9983          | 0.5441   |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1