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Merge branch 'shaokai/dev' of github.com:yeshaokai/LLaVA-NeXT into shaokai/dev
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llava/train/train.py

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@@ -1851,8 +1851,8 @@ def make_inputs_require_grad(module, input, output):
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# # this needs to be tested. But let's always evaluate the model after training.
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# # we should also save the predictions into the experiment folder so we can analyze afterwards
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if training_args.eval_steps!= trainer.state.global_step:
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trainer.evaluate(eval_result_folder = training_args.output_dir)
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# if training_args.eval_steps!= trainer.state.global_step:
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# trainer.evaluate(eval_result_folder = training_args.output_dir)
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if __name__ == "__main__":

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