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+---
+base_model: /apdcephfs_cq10_1567347/share_1567347/share_info/llm_models/zephyr-7b-sft-full
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- /apdcephfs_cq10_1567347/share_1567347/mingxiaoli/tmp_data/ultrafeedback_binarized
+model-index:
+- name: zephyr-7b-Database-SimPO+_again
+  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. -->
+
+# zephyr-7b-Database-SimPO+_again
+
+This model is a fine-tuned version of [/apdcephfs_cq10_1567347/share_1567347/share_info/llm_models/zephyr-7b-sft-full](https://huggingface.co//apdcephfs_cq10_1567347/share_1567347/share_info/llm_models/zephyr-7b-sft-full) on the /apdcephfs_cq10_1567347/share_1567347/mingxiaoli/tmp_data/ultrafeedback_binarized 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-07
+- train_batch_size: 1
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- 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
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1