LoRA weights for LLaMA-7B
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='decapoda-research/llama-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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