ConvNext-V2-Retinopathy – AI Model by EscvNcl | AlphaNeural AI

You can deploy this model and start earning money today!

EscvNcl/
ConvNext-V2-Retinopathy

like

0

image-classification

generated_from_trainer

syedmuhammad/ConvNextV2-Diabetec-Retinopathy

autotrain_compatible

endpoints_compatible

Views

No views yet

ConvNext-V2-Retinopathy

This model is a fine-tuned version of syedmuhammad/ConvNextV2-Diabetec-Retinopathy on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0219
Accuracy: 0.9901

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.125	1.0	113	0.0339	0.9901
0.2206	2.0	227	0.0139	0.9901
0.1751	3.0	340	0.0114	0.9950
0.0599	4.0	454	0.0277	0.9950
0.1122	5.0	567	0.0328	0.9950
0.093	6.0	681	0.0240	0.9901
0.0673	7.0	794	0.0251	0.9950
0.0718	8.0	908	0.0458	0.9851
0.0632	9.0	1021	0.0477	0.9901
0.0263	10.0	1135	0.0399	0.9950
0.0304	11.0	1248	0.0295	0.9901
0.0892	12.0	1362	0.0330	0.9950
0.0227	13.0	1475	0.0287	0.9901
0.0253	14.0	1589	0.0262	0.9901
0.1242	14.93	1695	0.0219	0.9901

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1