Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.8717	1.0	225	1.6629	0.51
1.0494	2.0	450	1.1411	0.66
0.6822	3.0	675	0.7936	0.78
0.3837	4.0	900	0.7334	0.8
0.5159	5.0	1125	0.6071	0.81
0.078	6.0	1350	0.5952	0.82
0.4912	7.0	1575	0.7551	0.82
0.1445	8.0	1800	0.7916	0.82
0.0098	9.0	2025	0.6903	0.85
0.0084	10.0	2250	0.7243	0.85