---
license: mit
tags:
- generated_from_trainer
datasets:
- roneneldan/TinyStories
model-index:
- name: finetuned-gpt2-tiny
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetuned-gpt2-tiny

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the roneneldan/TinyStories dataset.

## 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: 5e-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

### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3

# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dpv__finetuned-gpt2-tiny)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 25.02   |
| ARC (25-shot)         | 21.84          |
| HellaSwag (10-shot)   | 31.6    |
| MMLU (5-shot)         | 25.86         |
| TruthfulQA (0-shot)   | 40.67   |
| Winogrande (5-shot)   | 50.12   |
| GSM8K (5-shot)        | 0.3        |
| DROP (3-shot)         | 4.78         |