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
0.3944	1.0	2	0.5182	0.7727	0.8077	0.9545	0.7	0.7727
0.2818	2.0	4	0.4742	0.7955	0.8235	0.9545	0.7241	0.7955
0.2666	3.0	6	0.4678	0.7955	0.8235	0.9545	0.7241	0.7955
0.2336	4.0	8	0.4625	0.7955	0.8235	0.9545	0.7241	0.7955
0.2445	5.0	10	0.4618	0.7955	0.8235	0.9545	0.7241	0.7955