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
2.1966	1.0	180	0.9332	0.7304
0.8897	2.0	360	0.6628	0.8037
0.6274	3.0	540	0.6455	0.8131
0.4838	4.0	720	0.5652	0.8303
0.402	5.0	900	0.5829	0.8313
0.3357	6.0	1080	0.5725	0.8342
0.3005	7.0	1260	0.5702	0.8416
0.2668	8.0	1440	0.5699	0.8426
0.2415	9.0	1620	0.5622	0.8470
0.2241	10.0	1800	0.5600	0.8460
0.2048	11.0	1980	0.5696	0.8411
0.1921	12.0	2160	0.5586	0.8505
0.179	13.0	2340	0.5706	0.8534
0.1725	14.0	2520	0.5318	0.8529
0.159	15.0	2700	0.5232	0.8549
0.1497	16.0	2880	0.5545	0.8475
0.142	17.0	3060	0.5683	0.8485
0.1367	18.0	3240	0.5356	0.8534
0.1292	19.0	3420	0.5371	0.8524
0.1231	20.0	3600	0.5164	0.8628
0.1233	21.0	3780	0.5430	0.8559
0.1105	22.0	3960	0.5454	0.8534
0.1088	23.0	4140	0.5000	0.8657
0.1066	24.0	4320	0.5428	0.8574
0.0972	25.0	4500	0.5136	0.8544
0.097	26.0	4680	0.5112	0.8603
0.09	27.0	4860	0.4910	0.8628
0.0888	28.0	5040	0.5058	0.8637