| library_name: peft | |
| tags: | |
| - alignment-handbook | |
| - generated_from_trainer | |
| # base_model: /ML-A100/team/mm/zhangge/iterativeDPO/data/model/full/neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3 | |
| # datasets: | |
| # - /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/generate/neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3-generate-chosen-rejected-reward | |
| model-index: | |
| - name: neo_7B_sft_v0_1_plus-dpo-iter2-beta0_1 | |
| 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. --> | |
| # neo_7B_sft_v0_1_plus-dpo-iter2-beta0_1 | |
| This model is a fine-tuned version of [/ML-A100/team/mm/zhangge/iterativeDPO/data/model/full/neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3](https://huggingface.co//ML-A100/team/mm/zhangge/iterativeDPO/data/model/full/neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3) on the /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/generate/neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3-generate-chosen-rejected-reward 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-06 | |
| - train_batch_size: 3 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 128 | |
| - total_train_batch_size: 384 | |
| - total_eval_batch_size: 1024 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 1 | |
| ### Training results | |
| ### Framework versions | |
| - PEFT 0.7.1 | |
| - Transformers 4.39.0.dev0 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.14.6 | |
| - Tokenizers 0.15.2 |