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
0.3671	1.0	2	0.3591	0.8644	0.8710	0.9310	0.8182	0.8655
0.3393	2.0	4	0.3580	0.8644	0.875	0.9655	0.8	0.8661
0.2977	3.0	6	0.3531	0.8475	0.8525	0.8966	0.8125	0.8483
0.2733	4.0	8	0.3566	0.8475	0.8525	0.8966	0.8125	0.8483
0.2423	5.0	10	0.3594	0.8475	0.8525	0.8966	0.8125	0.8483