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: 768
eval_batch_size: 8
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
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.069	0.3062	64	0.0579	0.9788	0.9790	0.9788	0.9790
0.0482	0.6124	128	0.0518	0.9814	0.9815	0.9814	0.9815
0.0404	0.9187	192	0.0325	0.9882	0.9882	0.9882	0.9882
0.0325	1.2249	256	0.0407	0.9855	0.9855	0.9855	0.9855
0.0322	1.5311	320	0.0281	0.9901	0.9901	0.9901	0.9902
0.0283	1.8373	384	0.0347	0.9884	0.9884	0.9884	0.9885
0.0256	2.1435	448	0.0271	0.9907	0.9907	0.9907	0.9907
0.0207	2.4498	512	0.0359	0.9874	0.9874	0.9874	0.9874
0.0192	2.7560	576	0.0253	0.9917	0.9916	0.9917	0.9917
0.017	3.0622	640	0.0272	0.9908	0.9908	0.9908	0.9908
0.0134	3.3684	704	0.0255	0.9916	0.9916	0.9916	0.9915
0.0132	3.6746	768	0.0232	0.9925	0.9925	0.9925	0.9925
0.0114	3.9809	832	0.0260	0.9919	0.9919	0.9919	0.9918
0.0074	4.2871	896	0.0242	0.9927	0.9927	0.9927	0.9927
0.0079	4.5933	960	0.0219	0.9931	0.9931	0.9931	0.9932
0.0072	4.8995	1024	0.0219	0.9934	0.9934	0.9934	0.9934