Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 128
eval_batch_size: 128
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: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.2868	1.0	2	0.1050	1.0	1.0	1.0	1.0	1.0
0.271	2.0	4	0.0975	1.0	1.0	1.0	1.0	1.0
0.2379	3.0	6	0.0951	0.9737	0.9744	1.0	0.95	0.9737
0.1867	4.0	8	0.0948	0.9737	0.9744	1.0	0.95	0.9737
0.1854	5.0	10	0.0937	0.9737	0.9744	1.0	0.95	0.9737