buio/attention_mil_classification

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:

• optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training Metrics

Epochs	Train Loss	Train Accuracy	Validation Loss	Validation Accuracy
1	0.315	0.915	0.066	0.983
2	0.089	0.982	0.049	0.99
3	0.078	0.987	0.084	0.983
4	0.059	0.983	0.033	0.993
5	0.042	0.99	0.053	0.99
6	0.042	0.996	0.019	0.993
7	0.013	0.999	0.067	0.987
8	0.055	0.988	0.049	0.99
9	0.005	1.0	0.039	0.993
10	0.005	1.0	0.038	0.99
11	0.039	0.995	0.214	0.97
12	0.008	1.0	0.039	0.99
13	0.002	1.0	0.047	0.993
14	0.016	0.999	0.057	0.99
15	0.046	0.993	0.026	0.997
16	0.002	1.0	0.06	0.99

Model Plot

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