swinv2-base-patch4-window8-256-Kaggle_test_20231123

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2066
• Accuracy: 0.9315

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: 0.0001
• 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
0.2882	1.0	64	0.2488	0.9311
0.2568	2.0	128	0.2522	0.9311
0.1961	3.0	192	0.2066	0.9315

Framework versions

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