Row 66217
Content Data
This page contains data entry 66217 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Your implementation looks fine, and they haven't used scale augmentation for CIFAR10. Then I don't get why your model is overfitting so quickly.
Maybe try plain resnet-56 just to compare two depths. It's interesting if 56 version will get higher train and valid losses, like in reference
| Field | Value |
|---|---|
| text | Your implementation looks fine, and they haven't used scale augmentation for CIFAR10. Then I don't get why your model is overfitting so quickly. Maybe try plain resnet-56 just to compare two depths. It's interesting if 56 version will get higher train and valid losses, like in reference |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1jVU5iVG9qV1J1WW9FWHhCUHlwbGwtMFlzZTFDa2Z1QkFPR3V5RnMyOW85TldtcWxwblIxeXJIcndKZUNFZ1RxblFIZmJ2MXBBZkhWZHdWNU5rVXo3Q1E9PQ== |
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Raw Record
{
"text": "Your implementation looks fine, and they haven't used scale augmentation for CIFAR10. Then I don't get why your model is overfitting so quickly. \n\nMaybe try plain resnet-56 just to compare two depths. It's interesting if 56 version will get higher train and valid losses, like in reference",
"label": "r/machinelearning",
"dataType": "comment",
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"datetime": "2024-05-23",
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Entry Information
- Entry ID: 66217
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000