artgpt
This model is a fine-tuned version of 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
Detailed results can be found here
| 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 |
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Base model
openai-community/gpt2