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
0.0562	0.5872	64	0.0385	0.9860	0.9860	0.9860	0.9860
0.0328	1.1743	128	0.0350	0.9884	0.9884	0.9884	0.9885
0.0251	1.7615	192	0.0311	0.9879	0.9879	0.9879	0.9879
0.0185	2.3486	256	0.0296	0.9895	0.9895	0.9895	0.9895
0.0166	2.9358	320	0.0328	0.9897	0.9897	0.9897	0.9898
0.0109	3.5229	384	0.0336	0.9906	0.9906	0.9906	0.9907
0.0098	4.1101	448	0.0249	0.9917	0.9917	0.9917	0.9917
0.0069	4.6972	512	0.0224	0.9932	0.9932	0.9932	0.9933