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eval_med_dataset_batch.sh 1.1 KB

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  1. # python llava/eval/run_med_datasets_eval_batch.py --model-name /home/chunyl/azure_mount/chunyleu_output/llava-med/llava-vicuna-7b/med-pretrain-364m-1epoch/finetune_e2e_on_instruct-3epoch \
  2. # --question-file \
  3. # /home/chunyl/azure_mount/hanoverdev/clwon/llava/eval/vqa_rad/test.json \
  4. # --image-folder /home/chunyl/azure_mount/hanoverdev/clwon/llava/eval/vqa_rad/images \
  5. # --answers-file \
  6. # /home/chunyl/azure_mount/chunyleu_output/llava-med/llava-vicuna-7b/med-pretrain-364m-1epoch/finetune_e2e_on_instruct-3epoch/zeroshot_to_downstream_results/vqa_rad/test-answer-file-run1.jsonl
  7. python llava/eval/run_med_datasets_eval_batch.py --num-chunks 1 --model-name /home/chunyl/research/output/llava/results/med-pretrain-364m-v01-run/eval/vqa_rad \
  8. --question-file \
  9. /home/chunyl/azure_mount/hanoverdev/clwon/llava/eval/vqa_rad/test.json \
  10. --image-folder /home/chunyl/azure_mount/hanoverdev/clwon/llava/eval/vqa_rad/images \
  11. --answers-file \
  12. /home/chunyl/research/output/llava/results/eval/vqa_rad/batch_decoding/answer-file-1epoch.jsonl
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