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hello!! I trained the model with batchsize of 2048 to epoch_13_13999.bin, and then changed batchsize to 1024 for training epoch14, and the accuracy decreased from 56% to 55%. c
#253
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leo23ui opened this issue
Dec 12, 2024
· 1 comment
hello!! , I trained the model with batchsize of 2048 to epoch_13_13999.bin, and then changed batchsize to 1024 for training epoch14, and the accuracy decreased from 56% to 55%. could you please give me some advice on how to solve this problem? thanks!!! I modified the following code after modifying batchsize.
Modify the code in train.py as follows:
#if num_feed_images >= all_num_feed_images:
#break
if batch_count >= num_batches_per_epoch:
break
The text was updated successfully, but these errors were encountered:
leo23ui
changed the title
dear teachers, I trained the model with batchsize of 2048 to epoch_13_13999.bin, and then changed batchsize to 1024 for training epoch14, and the accuracy decreased from 56% to 55%. c
hello!! I trained the model with batchsize of 2048 to epoch_13_13999.bin, and then changed batchsize to 1024 for training epoch14, and the accuracy decreased from 56% to 55%. c
Dec 12, 2024
hello!! , I trained the model with batchsize of 2048 to epoch_13_13999.bin, and then changed batchsize to 1024 for training epoch14, and the accuracy decreased from 56% to 55%. could you please give me some advice on how to solve this problem? thanks!!! I modified the following code after modifying batchsize.
Modify the code in train.py as follows:
#if num_feed_images >= all_num_feed_images:
#break
if batch_count >= num_batches_per_epoch:
break
Change the code in main.py as follows:
#start_iter = checkpoint['iter_in_epoch'] + 1
start_iter = checkpoint['iter_in_epoch']*2 + 1
The text was updated successfully, but these errors were encountered: