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selmamalak/
vit-base-patch16-224-in21k-bloodmnist-fold-4

Name: vit-base-patch16-224-in21k-bloodmnist-fold-4
Availability: InStock

peft

safetensors

generated_from_trainer

medmnist-v2

google/vit-base-patch16-224-in21k

adapter

apache-2.0

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vit-base-patch16-224-in21k-bloodmnist-fold-4

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the medmnist-v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.0682
Accuracy: 0.9798
Precision: 0.9781
Recall: 0.9785
F1: 0.9782

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3785	1.0	196	0.3495	0.8701	0.8553	0.8789	0.8514
0.3488	2.0	392	0.1979	0.9271	0.9452	0.9023	0.9138
0.2672	3.0	588	0.1617	0.9473	0.9406	0.9481	0.9439
0.2858	4.0	784	0.1202	0.9605	0.9582	0.9566	0.9568
0.2681	5.0	980	0.1635	0.9447	0.9400	0.9373	0.9360
0.2498	6.0	1176	0.1152	0.9587	0.9617	0.9546	0.9575
0.1958	7.0	1372	0.0994	0.9614	0.9602	0.9564	0.9570
0.1877	8.0	1568	0.0785	0.9772	0.9798	0.9727	0.9757
0.1135	9.0	1764	0.0795	0.9754	0.9757	0.9767	0.9760
0.1371	10.0	1960	0.0682	0.9798	0.9781	0.9785	0.9782

Framework versions

PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2

selmamalak/vit-base-patch16-224-in21k-bloodmnist-fold-4

vit-base-patch16-224-in21k-bloodmnist-fold-4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

selmamalak/
vit-base-patch16-224-in21k-bloodmnist-fold-4