Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Der	False Alarm	Missed Detection	Confusion
0.741	1.0	61	0.6351	0.0035	0.2824	0.0936	0.0905	0.0982
0.6866	2.0	122	0.6220	0.0035	0.2734	0.0969	0.0819	0.0945
0.6423	3.0	183	0.6293	0.0035	0.2767	0.0967	0.0794	0.1006
0.608	4.0	244	0.6363	0.0035	0.2849	0.0883	0.0924	0.1042
0.6007	5.0	305	0.6136	0.0035	0.2680	0.0831	0.0923	0.0926
0.5753	6.0	366	0.6210	0.0035	0.2696	0.0808	0.0937	0.0951
0.5582	7.0	427	0.6296	0.0035	0.2679	0.0890	0.0885	0.0905
0.5356	8.0	488	0.6519	0.0035	0.2771	0.0948	0.0833	0.0990
0.5338	9.0	549	0.6511	0.0035	0.2764	0.0944	0.0831	0.0989
0.538	10.0	610	0.6507	0.0035	0.2762	0.0946	0.0831	0.0986