swin-bird

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window16-256 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2848
• Accuracy: 0.6785

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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
3.4164	1.0	187	2.8874	0.3279
1.9819	2.0	375	1.5662	0.6060
1.4373	2.99	561	1.2848	0.6785

Framework versions

• Transformers 4.33.3
• Pytorch 2.5.1
• Datasets 2.19.2
• Tokenizers 0.13.3