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README.md

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+---
+library_name: peft
+tags:
+- alignment-handbook
+- generated_from_trainer
+# base_model: /ML-A100/team/mm/zhangge/models/neo_pt2.6_phase2/sft_ckpts/neo_7B_sft_v0_1_plus/checkpoint-225
+# datasets:
+# - /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/Nectar-Starling-RM-34B-rank1-2-origin
+model-index:
+- name: neo_7B_sft_v0_1_plus-dpo-iter1-beta0_3
+  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-iter1-beta0_3
+
+This model is a fine-tuned version of [/ML-A100/team/mm/zhangge/models/neo_pt2.6_phase2/sft_ckpts/neo_7B_sft_v0_1_plus/checkpoint-225](https://huggingface.co//ML-A100/team/mm/zhangge/models/neo_pt2.6_phase2/sft_ckpts/neo_7B_sft_v0_1_plus/checkpoint-225) on the /ML-A100/team/mm/zhangge/iterativeDPO/data/dataset/Nectar-Starling-RM-34B-rank1-2-origin 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: 64
+- total_train_batch_size: 192
+- total_eval_batch_size: 512
+- 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