retinal_disease_model – AI Model by eliasteikari | AlphaNeural AI

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eliasteikari/
retinal_disease_model

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image-classification

generated_from_trainer

google/vit-base-patch16-224

endpoints_compatible

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retinal_disease_model

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

Loss: 0.8147
Accuracy: 0.6062

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.5345	1.0	293	1.3042	0.3991
1.2525	2.0	586	1.3418	0.3633
1.0851	3.0	879	1.2063	0.5008
0.9413	4.0	1172	1.0855	0.4971
0.8212	5.0	1465	0.9673	0.4848
0.7118	6.0	1758	0.9683	0.5350
0.6451	7.0	2051	0.8728	0.6009
0.5910	8.0	2344	0.8177	0.5939
0.5518	9.0	2637	0.8230	0.5993
0.5383	10.0	2930	0.8147	0.6062

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2