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
0.3721	1.0	2	0.4823	0.7568	0.7429	0.7222	0.7647	0.7558
0.2987	2.0	4	0.4372	0.7838	0.7778	0.7778	0.7778	0.7836
0.3109	3.0	6	0.4250	0.8378	0.8421	0.8889	0.8	0.8392
0.2663	4.0	8	0.4238	0.8378	0.8421	0.8889	0.8	0.8392
0.2923	5.0	10	0.4234	0.8378	0.8421	0.8889	0.8	0.8392