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
0.3492	1.0	26	0.2837	0.8558	0.4	0.9091	0.2564	0.8809
0.2369	2.0	52	0.2839	0.9038	0.4595	0.7727	0.3269	0.8419
0.1732	3.0	78	0.3257	0.9399	0.5763	0.7727	0.4595	0.8610