convnext-base-224-22k-finetuned-Brain-Tumor-Classification

This model is a fine-tuned version of facebook/convnext-base-224-22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.2657
• Accuracy: 0.8990

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
0.8641	0.9877	20	0.5798	0.8014
0.3857	1.9753	40	0.3247	0.8850
0.2798	2.9630	60	0.2657	0.8990

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1