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Thank you for your excellent contribution in lmms evaluation, I met a problem when saving the response when evaluate lmms on my curated dataset. The code was executed correctly except for there was no cache files in the folder I initiated in command:
I run: python3 -m accelerate.commands.launch --num_processes=1 -m lmms_eval --model qwen2_vl --model_args pretrained="path/to//Qwen2-VL-7B-Instruct" --tasks dgqa --batch_size 1 --log_samples --log_samples_suffix Qwen2-VL-7B-Instruct_dgqa --output_path ./logs/ --limit 10 --use_cache ./cache/qwen_dgqa_
dgqa is my new task. While all other procedues(response and evaluation) could be executed correctly, there was no cache file in ./cache/qwen_dgqa_ folder. Please let me know how I can save this problem, thank you very much!
The text was updated successfully, but these errors were encountered:
Thank you for your excellent contribution in lmms evaluation, I met a problem when saving the response when evaluate lmms on my curated dataset. The code was executed correctly except for there was no cache files in the folder I initiated in command:
I run:
python3 -m accelerate.commands.launch --num_processes=1 -m lmms_eval --model qwen2_vl --model_args pretrained="path/to//Qwen2-VL-7B-Instruct" --tasks dgqa --batch_size 1 --log_samples --log_samples_suffix Qwen2-VL-7B-Instruct_dgqa --output_path ./logs/ --limit 10 --use_cache ./cache/qwen_dgqa_
dgqa is my new task. While all other procedues(response and evaluation) could be executed correctly, there was no cache file in
./cache/qwen_dgqa_
folder. Please let me know how I can save this problem, thank you very much!The text was updated successfully, but these errors were encountered: