swin-tiny-patch4-window7-224-finetuned-plant-classification-finetuned-crops-classification-ft

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

• Loss: 0.3404
• Accuracy: 0.8774

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4665	1.0	201	0.3881	0.8352
0.4054	2.0	403	0.3799	0.8582
0.3735	2.99	603	0.3404	0.8774

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1