convnext-base-384-finetuned-alzheimer-MRI

This model is a fine-tuned version of facebook/convnext-base-384 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8576
• Accuracy: 0.5805

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9877	1.0	36	0.9405	0.5625
0.8723	2.0	72	0.8801	0.5957
0.8327	3.0	108	0.8639	0.5977

Framework versions

• Transformers 4.52.3
• Pytorch 2.7.0+cpu
• Datasets 3.6.0
• Tokenizers 0.21.0