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for GPU is 3090. the profile is: CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python finetune.py --base_model 'yahma/llama-7b-hf' --data_path 'dataset/openbookqa/train.json' --output_dir ./finetuned_result/dora_r32_epoch_test1 --batch_size 16 --micro_batch_size 16 --num_epochs 3 --scaling 4.0 --learning_rate 2e-4 --cutoff_len 256 --val_set_size 120 --bottleneck_size 32 --eval_step 80 --save_step 80 --adapter_name lora --target_modules '["q_proj", "k_proj", "v_proj", "up_proj", "down_proj"]' --lora_r 16 --lora_alpha 32 --use_gradient_checkpointing
**then the result of OBQA is 0.08333333333333333.**
The text was updated successfully, but these errors were encountered:
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for GPU is 3090. the profile is: CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python finetune.py
--base_model 'yahma/llama-7b-hf'
--data_path 'dataset/openbookqa/train.json'
--output_dir ./finetuned_result/dora_r32_epoch_test1
--batch_size 16 --micro_batch_size 16 --num_epochs 3 --scaling 4.0
--learning_rate 2e-4 --cutoff_len 256 --val_set_size 120 --bottleneck_size 32
--eval_step 80 --save_step 80 --adapter_name lora
--target_modules '["q_proj", "k_proj", "v_proj", "up_proj", "down_proj"]'
--lora_r 16 --lora_alpha 32 --use_gradient_checkpointing
The text was updated successfully, but these errors were encountered: