| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - customized | |
| base_model: gpt2 | |
| model-index: | |
| - name: finetuned_gpt2 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # finetuned_gpt2 | |
| This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the customized 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: 2e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 6 | |
| - total_train_batch_size: 6 | |
| - total_eval_batch_size: 48 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.28.0.dev0 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.10.1 | |
| - 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_Mikivis__xuanxuan) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 24.72 | | |
| | ARC (25-shot) | 23.46 | | |
| | HellaSwag (10-shot) | 31.12 | | |
| | MMLU (5-shot) | 26.27 | | |
| | TruthfulQA (0-shot) | 35.97 | | |
| | Winogrande (5-shot) | 50.43 | | |
| | GSM8K (5-shot) | 0.0 | | |
| | DROP (3-shot) | 5.74 | | |