master-thesis/classification/classifier/train-metrics.csv

1	epoch	train_loss	train_acc	val_loss	val_acc
2	0	0.6290	0.6920	0.4647	0.7843
3	1	0.7473	0.6970	0.5752	0.7941
4	2	0.5318	0.7531	0.4026	0.8137
5	3	0.5383	0.7693	0.4723	0.7745
6	4	0.8356	0.7282	0.9150	0.6569
7	5	0.5942	0.7693	0.4992	0.7745
8	6	0.4339	0.8092	0.4625	0.7451
9	7	0.3620	0.8454	0.3219	0.8431
10	8	0.3350	0.8579	0.2812	0.8725
11	9	0.3237	0.8653	0.3355	0.8333
12	10	0.3264	0.8516	0.2956	0.8627
13	11	0.3434	0.8541	0.3215	0.8235
14	12	0.3129	0.8641	0.2990	0.8333
15	13	0.3072	0.8616	0.2975	0.8725
16	14	0.2892	0.8815	0.2844	0.9020
17	15	0.3042	0.8616	0.3124	0.8235
18	16	0.3007	0.8703	0.3064	0.8431
19	17	0.2580	0.8928	0.3006	0.8431
20	18	0.2844	0.8778	0.3441	0.8137
21	19	0.2994	0.8815	0.2690	0.8824
22	20	0.3063	0.8653	0.3406	0.8137
23	21	0.2839	0.8766	0.2964	0.8431
24	22	0.2871	0.8815	0.3140	0.8333
25	23	0.2874	0.8766	0.3014	0.8725
26	24	0.2694	0.8890	0.3236	0.8333
27	25	0.3031	0.8778	0.3001	0.8431
28	26	0.2996	0.8641	0.3217	0.8235
29	27	0.3109	0.8766	0.2569	0.9118
30	28	0.2949	0.8703	0.3114	0.8333
31	29	0.3067	0.8728	0.3476	0.8235
32	30	0.3084	0.8828	0.2851	0.8627
33	31	0.3158	0.8653	0.2967	0.8431
34	32	0.3153	0.8603	0.2872	0.8529
35	33	0.3017	0.8716	0.2775	0.8431
36	34	0.3171	0.8791	0.3527	0.8235
37	35	0.3027	0.8666	0.2903	0.8333
38	36	0.2997	0.8840	0.2729	0.8627
39	37	0.2867	0.8840	0.2564	0.8922
40	38	0.3044	0.8628	0.3305	0.8333
41	39	0.2978	0.8840	0.3722	0.8235
42	40	0.2906	0.8678	0.2804	0.8627
43	41	0.2822	0.8778	0.2952	0.8725
44	42	0.3403	0.8466	0.3014	0.8529
45	43	0.3040	0.8803	0.3133	0.8333
46	44	0.3107	0.8815	0.2954	0.8431
47	45	0.2785	0.8828	0.3147	0.8431
48	46	0.3109	0.8778	0.2670	0.8725
49	47	0.2848	0.8766	0.3000	0.8529
50	48	0.2832	0.8791	0.2768	0.8627
51	49	0.2606	0.8890	0.2756	0.8824