Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.6615	0.11	50	1.5503	0.3199	0.1016	0.2599	0.1518
0.6244	0.22	100	0.7198	0.7692	0.4656	0.4593	0.4818
0.3344	0.33	150	0.4852	0.8893	0.6484	0.6264	0.6733
0.2596	0.44	200	0.5277	0.8805	0.6398	0.6124	0.6748
0.2173	0.55	250	0.4417	0.8849	0.6577	0.6421	0.6750
0.2393	0.66	300	0.5221	0.8707	0.6511	0.6361	0.6684
0.2229	0.76	350	0.4997	0.8928	0.6602	0.6410	0.6814
0.1482	0.87	400	0.5111	0.8983	0.6409	0.6131	0.6810
0.1831	0.98	450	0.4251	0.8827	0.6827	0.7149	0.6957
0.1882	1.09	500	0.4130	0.9043	0.6805	0.7998	0.6878
0.1182	1.2	550	0.4513	0.9076	0.6973	0.7703	0.7004
0.101	1.31	600	0.3402	0.9221	0.7040	0.8097	0.7036
0.0749	1.42	650	0.1566	0.9658	0.8229	0.8350	0.8122
0.1294	1.53	700	0.1586	0.9675	0.8336	0.8327	0.8346
0.046	1.64	750	0.2010	0.9604	0.8264	0.8211	0.8334
0.0833	1.75	800	0.1707	0.9647	0.8285	0.8244	0.8330
0.0759	1.86	850	0.1625	0.9664	0.8278	0.8285	0.8271
0.0459	1.97	900	0.1831	0.9620	0.8258	0.8200	0.8328
0.0726	2.07	950	0.1753	0.9625	0.8279	0.8287	0.8276
0.0369	2.18	1000	0.1871	0.9650	0.8300	0.8252	0.8362
0.0456	2.29	1050	0.1524	0.9683	0.8320	0.8278	0.8367
0.0371	2.4	1100	0.1857	0.9631	0.8280	0.8219	0.8353
0.0106	2.51	1150	0.1850	0.9661	0.8318	0.8274	0.8370
0.0173	2.62	1200	0.2055	0.9647	0.8310	0.8259	0.8374
0.036	2.73	1250	0.1699	0.9694	0.8311	0.8267	0.8358
0.0176	2.84	1300	0.1780	0.9691	0.8325	0.8274	0.8382
0.0444	2.95	1350	0.1918	0.9672	0.8319	0.8275	0.8371

AmirlyPhd/final_V1-roberta-text-classification-model

final_V1-roberta-text-classification-model