resnet-50-drfx-surgery-classifier – AI Model by jayanthspratap | AlphaNeural AI

You can deploy this model and start earning money today!

jayanthspratap/
resnet-50-drfx-surgery-classifier

like

0

image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

resnet-50-drfx-surgery-classifier

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6399
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	0.6591	0.8125
No log	2.0	8	0.6399	0.875
0.6638	3.0	12	0.6671	0.875
0.6638	4.0	16	0.6645	0.8125
0.6562	5.0	20	0.6495	0.875
0.6562	6.0	24	0.6673	0.875
0.6562	7.0	28	0.6539	0.875
0.6527	8.0	32	0.6519	0.875
0.6527	9.0	36	0.6603	0.875
0.6596	10.0	40	0.6525	0.875

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3