Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.8136	0.11	50	1.7501	0.3470	0.1733	0.3034	0.1944
0.9023	0.22	100	1.2121	0.5723	0.3083	0.3496	0.3189
0.5924	0.33	150	0.9662	0.6667	0.3919	0.4265	0.4037
0.4218	0.44	200	0.4848	0.8813	0.6427	0.6492	0.6413
0.2025	0.55	250	0.3807	0.9021	0.6677	0.6538	0.6829
0.1609	0.66	300	0.3360	0.9147	0.6763	0.6727	0.6822
0.2035	0.76	350	0.3705	0.8991	0.6711	0.6589	0.6838
0.1208	0.87	400	0.2140	0.9565	0.8218	0.8137	0.8323
0.1313	0.98	450	0.6818	0.8704	0.6779	0.7179	0.6859
0.1576	1.09	500	0.2508	0.9212	0.7443	0.7888	0.7311
0.0593	1.2	550	0.2091	0.9552	0.8193	0.8179	0.8227
0.0705	1.31	600	0.2010	0.9552	0.8154	0.8091	0.8225
0.0637	1.42	650	0.1985	0.9573	0.8187	0.8115	0.8275
0.0619	1.53	700	0.2306	0.9541	0.8241	0.8194	0.8301
0.0582	1.64	750	0.2001	0.9609	0.8280	0.8250	0.8320
0.1132	1.75	800	0.1439	0.9680	0.8324	0.8284	0.8367
0.0416	1.86	850	0.1558	0.9680	0.8333	0.8301	0.8369
0.0371	1.97	900	0.2242	0.9595	0.8280	0.8235	0.8345
0.0428	2.07	950	0.1907	0.9617	0.8303	0.8262	0.8356
0.0388	2.18	1000	0.1784	0.9658	0.8319	0.8266	0.8383
0.0335	2.29	1050	0.1735	0.9675	0.8323	0.8266	0.8390
0.0361	2.4	1100	0.1921	0.9636	0.8283	0.8219	0.8360
0.0126	2.51	1150	0.2200	0.9614	0.8294	0.8274	0.8327
0.003	2.62	1200	0.2251	0.9614	0.8296	0.8262	0.8346
0.0029	2.73	1250	0.1750	0.9694	0.8348	0.8314	0.8388
0.0137	2.84	1300	0.1775	0.9686	0.8345	0.8300	0.8397
0.0184	2.95	1350	0.1860	0.9675	0.8337	0.8293	0.8391

AmirlyPhd/final_V2-bert-after-adding-new-words-text-classification-model

final_V2-bert-after-adding-new-words-text-classification-model