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Question about Training #4

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nba_modal in first row is downloaded from (https://drive.google.com/file/d/1P5PlFb3cEjhHky0boHWtwc44xkCFZWdM/view?usp=sharing). And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.

my_nba_model in the second row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_500000.pth --subjects "model" --num_views 5
to evalue the model.

my_nba_model in the third row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model --dataset nba
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.

my_nba_model_finetune in the last row is trained by next order
python -m train.train_mdm --save_dir save/nba/my_nba_diffusion_model_finetune --dataset nba --resume_checkpoint save/nba/nba_diffusion_model/checkpoint_500000.pth
And then I use
python -m eval.evaluate --evaluator_path save/evaluator/nba/nba_evaluator/checkpoint_1000000.pth --model_path save/nba/my_nba_diffusion_model_finetune/checkpoint_600000.pth --subjects "model" --num_views 5
to evalue the model.

Why are the indicators of the last three models lower than the indicators of the first model?

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