swinv2-tiny-patch4-window8-256-finetuned-lora-food101

This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:

• Loss: 0.0096
• 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: 0.005
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.0096	1.0
No log	2.0	2	0.0025	1.0
No log	3.0	3	0.0006	1.0
No log	4.0	4	0.0002	1.0
No log	5.0	5	0.0001	1.0

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.1.0+cpu
• Datasets 2.16.1
• Tokenizers 0.15.0