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
0.3028	1.0	2	0.2075	0.92	0.92	0.92	0.92	0.92
0.299	2.0	4	0.1971	0.92	0.9231	0.96	0.8889	0.9200
0.2527	3.0	6	0.2005	0.92	0.9231	0.96	0.8889	0.9200
0.2113	4.0	8	0.1985	0.92	0.9231	0.96	0.8889	0.9200
0.2026	5.0	10	0.1968	0.92	0.9231	0.96	0.8889	0.9200