Hugging Face model: Emirhan32/Cloud-Classifier-Youth_Ai_Initiative_Homework
Author: Emirhan32
Created: 2025-11-22 11:20:31
Last modified: 2025-11-22 14:04:07
Likes: 2 | Downloads: 0
Tags: en, base_model:microsoft/resnet-18, base_model:finetune:microsoft/resnet-18, license:mit, region:us
Base model relation: finetune
Base models: id: microsoft/resnet-18
Card metadata:
license: mit
Creator: Emirhan Yusuf Alp
Grup: 2
Database link: https://www.kaggle.com/datasets/zeesolver/cloiud-dataset
Number of Classes: 7 ['cirriform clouds', 'clear sky', 'cumulonimbus clouds', 'cumulus clouds', 'high cumuliform clouds', 'stratiform clouds', 'stratocumulus clouds']
Gpu: Nvidia GeForce RTX 3060 TI
Batch Sizes Tested: 8, 32
Epochs Tested: 5, 10, 100(experiament)
Models of ResNet: ResNet18, ResNet34, Resnet50
Normalization: ImageNet stats
Optimizer: Adam
Loss function: CrossEntropyLoss
Inference: Resnet18 epoch 10 batch 32 is most successfully option between 12 options on the cloud classifier.Resnet18 is most average acc[(train acc+test acc)/2], resnet34 have more train acc than resnet18 train acc but test acc is not better than resnet18,resnet50 is greates capacity than resnet18 and resnet34 but resnet50 havent good acc on small(this database)databes than others.Epoch 10 is has more succes than epoch 5 but epoch 100 is worst(epoch 100 have loss:0.0138 thats mean epoch 100 have overfitting problem).Thats mean if epochs is have very little number,model havent teach good but if epochs is have very big number model have overfitting from this situation we must be optimize the number of epochs for great model.Batch Size 32 have more stability and more accuracy than batch size 8 but batch size 128 uses lot of vram and gpu(my computers is crashes on batch size 128 and i dont understand this).
The model options Acc List: Resnet18 Epoch 10,Batch Size 32: average acc is 96,36, Resnet34 Epoch 10,Batch Size 32: average acc is 95,93, Resnet50 Epoch 10,Batch Size 32: average acc is 95,47, Resnet50 Epoch 5,Batch Size 32: average acc is 94,49, Resnet18 Epoch 5,Batch Size 32: average acc is 93,46, Resnet34 Epoch 5,Batch Size 32: average acc is 92,71, Resnet34 Epoch 10,Batch Size 8: average acc is 90,32, Resnet18 Epoch 5,Batch Size 8: average acc is 90,29, Resnet50 Epoch 10,Batch Size 8: average acc is 90,19, Resnet18 Epoch 10,Batch Size 8: average acc is 90,00, Resnet50 Epoch 5,Batch Size 8: average acc is 88,31, Resnet34 Epoch 10,Batch Size 8: average acc is 86,50
language: en
base_model: microsoft/resnet-18, microsoft/resnet-50, pyannote/wespeaker-voxceleb-resnet34-LM