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LoRA weights for lmsys/vicuna-7b-delta-v0

Trained on 'taesiri/webnlg-triplets-explanation-v1' for 4 epochs.

Command:

 WORLD_SIZE=2 CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node=2 --master_port=1234 finetune.py     --base_model='./checkpoints/lmsys-vicuna-7B-HF'     --data_path 'taesiri/webnlg-triplets-explanation-v1'     --num_epochs=4     --cutoff_len=512     --group_by_length     --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]'     --lora_r=8      --micro_batch_size=8     --batch_size=32
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