Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Recall-score	Precision-score
1.1736	1.0	278	0.9850	0.7898	0.7552	0.7898	0.7813
0.4185	2.0	556	0.4326	0.9106	0.8991	0.9106	0.9062
0.3854	3.0	834	0.2507	0.9363	0.9335	0.9363	0.9409
0.2509	4.0	1112	0.1460	0.9666	0.9665	0.9666	0.9673
0.107	5.0	1390	0.1278	0.9641	0.9640	0.9641	0.9689
0.3585	6.0	1668	0.1188	0.9758	0.9758	0.9758	0.9764
0.2611	7.0	1946	0.1148	0.9704	0.9702	0.9704	0.9722
0.2493	8.0	2224	0.0638	0.9824	0.9824	0.9824	0.9828
0.0351	9.0	2502	0.0492	0.9887	0.9887	0.9887	0.9890
0.4708	10.0	2780	0.0479	0.9883	0.9883	0.9883	0.9885
0.2958	11.0	3058	0.0561	0.9865	0.9865	0.9865	0.9870
0.138	12.0	3336	0.0308	0.9916	0.9916	0.9916	0.9918
0.0525	13.0	3614	0.0226	0.9944	0.9944	0.9944	0.9944
0.0332	14.0	3892	0.0293	0.9916	0.9916	0.9916	0.9920
0.0332	15.0	4170	0.0202	0.9953	0.9953	0.9953	0.9953
0.339	16.0	4448	0.0210	0.9955	0.9955	0.9955	0.9955
0.211	17.0	4726	0.0218	0.9959	0.9959	0.9959	0.9960
0.0017	18.0	5004	0.0181	0.9964	0.9964	0.9964	0.9964
0.1646	19.0	5282	0.0166	0.9959	0.9959	0.9959	0.9960
0.0014	20.0	5560	0.0149	0.9962	0.9962	0.9962	0.9962

hamza666/Lesson1results

Lesson1results