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: 64
eval_batch_size: 64
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: 3
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	1-f1	1-recall	1-precision	Balanced Acc
0.3894	1.0	113	0.4000	0.9833	0.0	0.0	0.0	0.5
0.2537	2.0	226	0.3737	0.9738	0.0408	0.0333	0.0526	0.5116
0.2338	3.0	339	0.3952	0.9716	0.0727	0.0667	0.08	0.5268