CowTeat_Image_Classification_Model_Resnet-CV

Model Name	Train Accuracy	Test Accuracy	Parameters	Epoch	Best Epoch Number	Best Epoch Loss	Patience	Learning Rate	Batch Size	Date & Time
ManualResNet50	61.15%	49.47%	21286724	60	30	1.111425	30	0.0010	16	29_10_2023-23-16
ManualResNet50	62.46%	45.53%	21286724	46	16	1.105210	30	0.0005	16	29_10_2023-23-24
VGG	64.31%	54.74%	134285380	108	78	0.898382	30	0.0010	16	29_10_2023-23-46
VGG	88.03%	44.74%	134285380	36	6	0.987227	30	0.0005	16	29_10_2023-23-54
AlexNet	77.91%	55.53%	24979812	42	12	0.891964	30	0.0010	16	30_10_2023-00-00
AlexNet	94.67%	55.0%	24979812	31	1	1.936129	30	0.0005	16	30_10_2023-00-05
ManualResNet50	72.03%	50.53%	21286724	102	72	1.104458	30	0.0010	32	30_10_2023-00-22
ManualResNet50	86.62%	41.58%	21286724	38	8	1.142733	30	0.0005	32	30_10_2023-00-28
VGG	96.52%	45.79%	134285380	31	1	1.452910	30	0.0010	32	30_10_2023-00-34
VGG	99.89%	44.47%	134285380	31	1	2.262708	30	0.0005	32	30_10_2023-00-40
AlexNet	94.34%	53.68%	24979812	31	1	2.619717	30	0.0010	32	30_10_2023-00-44
AlexNet	95.87%	53.16%	24979812	31	1	4.697650	30	0.0005	32	30_10_2023-00-49
ManualResNet50	90.21%	46.05%	21286724	42	12	1.109577	30	0.0010	64	30_10_2023-00-55
ManualResNet50	91.51%	41.32%	21286724	31	1	1.125833	30	0.0005	64	30_10_2023-00-59
VGG	99.89%	44.47%	134285380	36	6	2.456812	30	0.0010	64	30_10_2023-01-06
VGG	99.89%	44.47%	134285380	31	1	3.262125	30	0.0005	64	30_10_2023-01-12
AlexNet	95.87%	53.42%	24979812	37	7	3.245117	30	0.0010	64	30_10_2023-01-17
AlexNet	95.97%	53.95%	24979812	52	22	4.473685	30	0.0005	64	30_10_2023-01-24