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
0.4126	1.0	3	0.5791	0.7385	0.7302	0.7188	0.7419	0.7382
0.2617	2.0	6	0.5705	0.7538	0.7647	0.8125	0.7222	0.7547
0.3334	3.0	9	0.5705	0.7538	0.7419	0.7188	0.7667	0.7533
0.2087	4.0	12	0.5875	0.7385	0.7213	0.6875	0.7586	0.7377
0.2755	5.0	15	0.5910	0.7538	0.7419	0.7188	0.7667	0.7533