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

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jayanthspratap/
resnet-50-drfx-CT-classifier

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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resnet-50-drfx-CT-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: 0.6813
Accuracy: 0.7647

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	0.6770	0.6471
No log	2.0	8	0.6813	0.7647
0.6847	3.0	12	0.6777	0.7059
0.6847	4.0	16	0.6819	0.7059
0.6886	5.0	20	0.6842	0.6471
0.6886	6.0	24	0.6806	0.7059
0.6886	7.0	28	0.6765	0.7059
0.6865	8.0	32	0.6807	0.7647
0.6865	9.0	36	0.6822	0.6471
0.6848	10.0	40	0.6832	0.5882

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3