---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: gpt2
model-index:
- name: artgpt
  results: []
---

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

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4268
- Accuracy: 0.3678

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40.0

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

# [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_buildingthemoon__testfinetunedmodel)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |29.18|
|AI2 Reasoning Challenge (25-Shot)|25.85|
|HellaSwag (10-Shot)              |31.40|
|MMLU (5-Shot)                    |26.07|
|TruthfulQA (0-shot)              |40.75|
|Winogrande (5-shot)              |50.99|
|GSM8k (5-shot)                   | 0.00|