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Hi,
After finetuning, how to evaluate the checkpoint using testint set? I did not find any codes for loading lora weights.
Best,
The text was updated successfully, but these errors were encountered:
In the codebase, the test set evaluation is conducted after the train/validation loop in the train function located in runner_base.py.
I believe this part is the most critical part. https://github.com/AttentionX/InstructBLIP_PEFT/blob/main/lavis/runners/runner_base.py#L483
By loading the correct model into the "model" variable, I think you'll be able to evaluate benchmarks using the trained checkpoints.
Let me know if you have any further questions, and feel free to email me ([email protected]) if you need in-depth assistance.
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Hi,
After finetuning, how to evaluate the checkpoint using testint set? I did not find any codes for loading lora weights.
Best,
The text was updated successfully, but these errors were encountered: