raihanp/resnet-model-trash-classification

image_classification(trash_classification)

This model is a fine-tuned version of resnet50. It achieves the following results on the evaluation set:

• Loss: 0.591041
• Accuracy: 0.848

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

-Epoch 1/15, Loss: 1.460609, Test accuracy: 0.4246666666666667
-Epoch 2/15, Loss: 1.285436, Test accuracy: 0.628
-Epoch 3/15, Loss: 1.083138, Test accuracy: 0.7173333333333334
-Epoch 4/15, Loss: 0.940875, Test accuracy: 0.7366666666666667
-Epoch 5/15, Loss: 0.880119, Test accuracy: 0.7546666666666667
-Epoch 6/15, Loss: 0.763511, Test accuracy: 0.782
-Epoch 7/15, Loss: 0.728582, Test accuracy: 0.7926666666666666
-Epoch 8/15, Loss: 0.742196, Test accuracy: 0.808
-Epoch 9/15, Loss: 0.680452, Test accuracy: 0.8166666666666667
-Epoch 10/15, Loss: 0.619245, Test accuracy: 0.8226666666666667
-Epoch 11/15, Loss: 0.690268, Test accuracy: 0.828
-Epoch 12/15, Loss: 0.623389, Test accuracy: 0.84
-Epoch 13/15, Loss: 0.595914, Test accuracy: 0.8413333333333334
-Epoch 14/15, Loss: 0.531754, Test accuracy: 0.846
-Epoch 15/15, Loss: 0.591041, Test accuracy: 0.8486666666666667