Comments (4)
DavideA
commented on June 3, 2024
Hi,
what optimizer are you using?
Secondly, I see you are printing the running loss (the sum of the loss of the batches so far). Are you sure the loss is actually increasing?
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AmmarKamoona
commented on June 3, 2024
Hi There,
I am using Adam optimizer with learning rate set to=0.001.
epochs is set to 30. the loss function decrease and then increase
the loss is= tensor(14281.7119, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 94it [06:52, 4.37s/it]
the loss is= tensor(14346.3477, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 95it [06:56, 4.38s/it]
the loss is= tensor(15669.5996, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 96it [07:00, 4.38s/it]
the loss is= tensor(15653.5596, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 97it [07:05, 4.38s/it]
the loss is= tensor(15492.5547, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 98it [07:09, 4.36s/it]
the loss is= tensor(16204.8232, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 99it [07:13, 4.37s/it]
the loss is= tensor(15876.1279, device='cuda:0', grad_fn=)
Computing scores for ShanghaiTech (video id = 01_019): 100it [07:18, 4.37s/it]
the loss is= tensor(16464.8418, device='cuda:0', grad_fn=)
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weibienao
commented on June 3, 2024
@AmmarKamoona HI, can you share the complete code for training in Shanghaitech dataset?
best wishes
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MStumpp
commented on June 3, 2024
@AmmarKamoona Have you been successful with the training? We just started experimenting with the code.
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Related Issues (16)
- I find that there seems to be no training code here. Can you provide training code? HOT 5
- Not be able to download the check point file
- Sampling HOT 10
- ValueError: need at least one array to concatenate
- Why not providing a train.py
- checkpoints link is not working HOT 1
- Update on train script
- Details about training HOT 4
- import errors? HOT 1
- how to training? HOT 2
- Loss exploding after few steps HOT 22
- train ucsd HOT 8
- Question about Shanghaitech HOT 3
- Train own dataset HOT 2
- About trainning. HOT 1
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