SYSU-MUCFC-FinTech-Research-Center/Zhongsi-9B-Instruct

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Yi-1.5-9B-sft-241128

This model is a fine-tuned version of saves/Yi-1.5-9B-pt-241124 on the chinese-medical-dialogue, the CMB, the cMedQA2, the CMExam, the CMtMedQA, the COIG-CQIA-full, the COIGfull, the HuatuoGPTsftdatav, the huatuoencyclopediaq, the huatuolite, the imcs21, the Med-single-choice, the Medicaldialoguesystemensingleturn, the qizhengpt-sft-20, the selfcognition, the sharegptzh38Kformat, the shennong, the shibing642-medica, the tigerbotsftdata, the xywy-KG and the zhongyi-zhiku datasets. It achieves the following results on the evaluation set:

• —Loss: 1.4478

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: 2.5e-06
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1