sebastiansarasti/vit_transformer_eye_disease

sebastiansarasti

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: 1.5460
• Accuracy: 0.3786

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: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	52	1.4555	0.3301
No log	2.0	104	1.4709	0.2621
No log	3.0	156	1.4634	0.3107
No log	4.0	208	1.6076	0.3301
No log	5.0	260	1.4538	0.3592
No log	6.0	312	1.5070	0.3981
No log	7.0	364	1.5530	0.3689
No log	8.0	416	1.4718	0.3398
No log	9.0	468	1.4676	0.3495
1.4219	10.0	520	1.5460	0.3786

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0