metadata
license: mit
tags:
- generated_from_trainer
datasets:
- roneneldan/TinyStories
model-index:
- name: finetuned-gpt2-tiny
results: []
finetuned-gpt2-tiny
This model is a fine-tuned version of 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
Detailed results can be found here
| 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 |