resnet-50-finetuned-eurosat

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.0380
• Accuracy: 0.4138

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0945	1.0	65	0.9772	0.4138
0.0536	2.0	130	1.1925	0.2759
0.0333	3.0	195	1.0380	0.4138

Framework versions

• Transformers 4.29.2
• Pytorch 1.12.1
• Datasets 2.12.0
• Tokenizers 0.13.3