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
No log	1.0	1	0.4044	0.875	0.8889	1.0	0.8	0.875
0.4573	2.0	2	0.3863	0.875	0.8889	1.0	0.8	0.875
0.4573	3.0	3	0.3522	0.9062	0.9143	1.0	0.8421	0.9062
0.3899	4.0	4	0.3310	0.9062	0.9143	1.0	0.8421	0.9062
0.3899	5.0	5	0.3195	0.9375	0.9412	1.0	0.8889	0.9375