Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Recall	Precision
1.7008	0.96	100	1.5259	0.4623	0.1091	0.1687	0.2296
1.4089	1.91	200	1.1875	0.6568	0.2499	0.2948	0.2170
1.0776	2.87	300	0.9009	0.8038	0.5304	0.5309	0.5333
0.8625	3.83	400	0.7617	0.8575	0.6321	0.6372	0.7107
0.7245	4.78	500	0.6894	0.8818	0.7282	0.7214	0.8803
0.6573	5.74	600	0.6651	0.8968	0.8406	0.8213	0.8770
0.6082	6.7	700	0.6335	0.9079	0.8630	0.8667	0.8595
0.5674	7.66	800	0.6363	0.9106	0.8692	0.8795	0.8621
0.5477	8.61	900	0.6269	0.9151	0.8776	0.8693	0.8877
0.5256	9.57	1000	0.6178	0.9205	0.8835	0.8849	0.8826
0.5148	10.53	1100	0.6214	0.9199	0.8796	0.8839	0.8762
0.4999	11.48	1200	0.6158	0.9229	0.8856	0.8853	0.8862
0.4916	12.44	1300	0.6186	0.9232	0.8839	0.8795	0.8888
0.479	13.4	1400	0.6285	0.9202	0.8847	0.8833	0.8864
0.4812	14.35	1500	0.6177	0.9241	0.8919	0.8930	0.8911
0.4667	15.31	1600	0.6206	0.9256	0.8848	0.8853	0.8843
0.4668	16.27	1700	0.6201	0.9265	0.8854	0.8876	0.8837
0.4635	17.22	1800	0.6252	0.9253	0.8901	0.8877	0.8927
0.4593	18.18	1900	0.6264	0.9274	0.8891	0.8899	0.8887
0.4538	19.14	2000	0.6228	0.9265	0.8891	0.8913	0.8870

vuihocrnd/cls-comment-phobert-base-v2-v2.4

cls-comment-phobert-base-v2-v2.4