Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.1655	0.99	20	0.8573	0.6955	0.6953	0.6955	0.6683
0.5506	1.99	40	0.5327	0.8083	0.8050	0.8083	0.7963
0.3573	2.99	60	0.4497	0.8338	0.8339	0.8338	0.8317
0.2083	3.99	80	0.4561	0.8354	0.8450	0.8354	0.8368
0.1545	4.99	100	0.4605	0.8423	0.8458	0.8423	0.8430
0.1014	5.99	120	0.4924	0.8524	0.8571	0.8524	0.8538
0.0854	6.99	140	0.5759	0.8393	0.8452	0.8393	0.8400
0.1012	7.99	160	0.5142	0.8362	0.8378	0.8362	0.8361
0.077	8.99	180	0.5647	0.8331	0.8538	0.8331	0.8407
0.0667	9.99	200	0.5294	0.8462	0.8509	0.8462	0.8483
0.0666	10.99	220	0.6038	0.8385	0.8415	0.8385	0.8396
0.0574	11.99	240	0.6384	0.8408	0.8431	0.8408	0.8411
0.0488	12.99	260	0.6305	0.8516	0.8561	0.8516	0.8532
0.0524	13.99	280	0.6411	0.8509	0.8526	0.8509	0.8510
0.0511	14.99	300	0.6462	0.8547	0.8542	0.8547	0.8543
0.0495	15.99	320	0.6869	0.8532	0.8534	0.8532	0.8527
0.0412	16.99	340	0.6643	0.8578	0.8554	0.8578	0.8564
0.0411	17.99	360	0.7214	0.8570	0.8539	0.8570	0.8552
0.0434	18.99	380	0.7037	0.8524	0.8507	0.8524	0.8514
0.0394	19.99	400	0.7094	0.8563	0.8546	0.8563	0.8552