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Hi,
Is is possible to provide a set of instructions to run evaluation on the validation set?
From the README:
test_eval.json is used for evaluation. test_llama.json is used for training
However, when I run:
python demo.py --llama_dir /path/to/llama_model_weights --checkpoint /path/to/pre-trained/checkpoint.pth --data ../test_llama.json --output ../output.json --batch_size 4 --num_processes 8 python evaluation.py --root_path1 ./output.json --root_path2 ./test_eval.json
I face this random UUID issue. I follow the exact instructions, so I'm not sure why this doesn't work.
For further diagnosis, following the FAQ which say I should run inference on the validation set, I ran:
python convert2llama.py
and changed this line to v1_1_val_nus_q_only.json and output to val_llama.json
v1_1_val_nus_q_only.json
val_llama.json
And then did:
python demo.py --llama_dir /path/to/llama_model_weights --checkpoint /path/to/pre-trained/checkpoint.pth --data ../val_llama.json --output ../output_val.json --batch_size 4 --num_processes 8 python evaluation.py --root_path1 ./output_val.json --root_path2 ./v1_1_val_nus_q_only.json
But this doesn't work either, and shows the same UUID error.
The text was updated successfully, but these errors were encountered:
Could you post the UUID error here? Are you running eval on your local env or our test server?
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Hi,
Is is possible to provide a set of instructions to run evaluation on the validation set?
From the README:
However, when I run:
I face this random UUID issue. I follow the exact instructions, so I'm not sure why this doesn't work.
For further diagnosis, following the FAQ which say I should run inference on the validation set, I ran:
and changed this line to
v1_1_val_nus_q_only.json
and output toval_llama.json
And then did:
But this doesn't work either, and shows the same UUID error.
The text was updated successfully, but these errors were encountered: