Closed tcxia closed 5 days ago
如题,如何利用kto结果对数据进行评估
CUDA_VISIBLE_DEVICES=0 torchrun \ --nproc_per_node $NPROC_PER_NODE \ --nnodes $NNODES \ --node_rank $RANK \ --master_addr $MASTER_ADDR \ --master_port $MASTER_PORT \ src/train.py examples/aigc_train/llama3/llama3_lora_kto_predict.yaml | tee infer_aigc_kto_llama3.log
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用 examples 里面的批量预测
KTO的运行脚本里面,好像没有do_predict的选项?
用 sft 的
Reminder
System Info
如题,如何利用kto结果对数据进行评估
Reproduction
CUDA_VISIBLE_DEVICES=0 torchrun \ --nproc_per_node $NPROC_PER_NODE \ --nnodes $NNODES \ --node_rank $RANK \ --master_addr $MASTER_ADDR \ --master_port $MASTER_PORT \ src/train.py examples/aigc_train/llama3/llama3_lora_kto_predict.yaml | tee infer_aigc_kto_llama3.log
Expected behavior
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Others
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