swin-tiny-patch4-window7-224-finetuned-cloudy

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.0694
• Accuracy: 1.0

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.2993	0.8182
No log	2.0	3	0.1963	0.9091
No log	3.0	5	0.1130	0.9091
No log	4.0	6	0.0694	1.0
No log	5.0	7	0.0569	1.0
No log	6.0	9	0.0902	0.9091
0.08	7.0	11	0.0973	0.9091
0.08	8.0	12	0.0746	1.0
0.08	9.0	13	0.0527	1.0
0.08	10.0	15	0.0392	1.0

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0