convnext-tiny-224-drfx-surgery-classifier – AI Model by jayanthspratap | AlphaNeural AI

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jayanthspratap/
convnext-tiny-224-drfx-surgery-classifier

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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convnext-tiny-224-drfx-surgery-classifier

This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6160
Accuracy: 0.875

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-06
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	0.7140	0.375
No log	2.0	8	0.6876	0.5
0.7104	3.0	12	0.6666	0.625
0.7104	4.0	16	0.6495	0.6875
0.6567	5.0	20	0.6360	0.75
0.6567	6.0	24	0.6247	0.8125
0.6567	7.0	28	0.6160	0.875
0.6277	8.0	32	0.6098	0.875
0.6277	9.0	36	0.6058	0.875
0.6122	10.0	40	0.6043	0.875

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3