dmis-lab/self-biorag-7b-olaph

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selfbiorag-7b-wo-kqa_golden-iter-dpo-step4-filtered

This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step3-filtered on the HuggingFace MedLFQA (without kqa_golden) dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6766
• —Rewards/chosen: -0.0828
• —Rewards/rejected: -0.1144
• —Rewards/accuracies: 0.6319
• —Rewards/margins: 0.0316
• —Logps/rejected: -98.9601
• —Logps/chosen: -79.1920
• —Logits/rejected: -1.2073
• —Logits/chosen: -1.1930

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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.39.0.dev0
• —Pytorch 2.1.2
• —Datasets 2.14.6
• —Tokenizers 0.15.2