Comments (3)
for example pre-training model
from tim.
Hi, I've tried re-training from scratch with num_workers = 0, but haven't noticed any significant difference. Are you still facing this issue ? (when you've re-trained a model from scratch, you must delete the "best/" folder at the directory where your model is saved before launching the test experiment. This folder contains saved features that are used to speed-up the experiments, but that must be deleted every time you have a new model. You can do it by hand, or simply specify the option eval.fresh_start=True when launching)
from tim.
when I run resnet18.sh,only in the date of mini-ImageNet,after training,using the Tim-GD to val,the accuracy of 1-shot 72.96 and 5-shot 84.17,Less than 1%. Do you have any other skills?
from tim.
Related Issues (14)
- URL
- unknown to the library visdom_logger HOT 1
- Hyperparameters for TIM
- Issues downloading tiered-imagenet
- The google drive download link of Dataset is unavailable
- The iCloud link is not working, can you provide a download link using Google Cloud Drive HOT 1
- ModuleNotFoundError: No module named 'visdom_logger' HOT 3
- Question
- AttributeError: 'Trainer' object has no attribute 'meta_val_interval' HOT 1
- About training parameters for WRN HOT 3
- How can I adapt this method to another dataset? HOT 4
- About Adapting This Method to Other Datasets HOT 1
- Train a model to reproduce domain-shift results HOT 2
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from tim.