Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.6252	0.11	50	1.7120	0.3451	0.1545	0.2382	0.1762
0.7857	0.22	100	0.7296	0.8209	0.4973	0.4815	0.5166
0.2986	0.33	150	0.5358	0.8830	0.6565	0.6402	0.6744
0.2612	0.44	200	0.4678	0.9035	0.6704	0.6621	0.6795
0.153	0.55	250	0.4325	0.9065	0.6648	0.6446	0.6879
0.2274	0.66	300	0.3498	0.8969	0.6440	0.6237	0.6677
0.1449	0.76	350	0.4254	0.8964	0.6885	0.8012	0.6895
0.1695	0.87	400	0.3484	0.9248	0.7301	0.7857	0.7208
0.1206	0.98	450	0.3075	0.9218	0.7351	0.7586	0.7279
0.1142	1.09	500	0.2241	0.9467	0.8063	0.7964	0.8218
0.0642	1.2	550	0.2527	0.9491	0.8159	0.8106	0.8239
0.0935	1.31	600	0.1961	0.9601	0.8216	0.8270	0.8173
0.0755	1.42	650	0.1290	0.9691	0.8272	0.8348	0.8201
0.108	1.53	700	0.1712	0.9612	0.8215	0.8311	0.8130
0.0667	1.64	750	0.1449	0.9716	0.8354	0.8371	0.8338
0.0925	1.75	800	0.1193	0.9721	0.8345	0.8353	0.8337
0.0769	1.86	850	0.1477	0.9675	0.8299	0.8270	0.8334
0.0558	1.97	900	0.1988	0.9606	0.8239	0.8194	0.8299
0.0379	2.07	950	0.1546	0.9694	0.8319	0.8300	0.8340
0.0358	2.18	1000	0.1871	0.9655	0.8295	0.8283	0.8312
0.0248	2.29	1050	0.1631	0.9661	0.8303	0.8278	0.8333
0.0412	2.4	1100	0.1688	0.9658	0.8283	0.8235	0.8340
0.0096	2.51	1150	0.1726	0.9661	0.8316	0.8297	0.8342
0.0025	2.62	1200	0.1808	0.9653	0.8300	0.8261	0.8348
0.0074	2.73	1250	0.1697	0.9677	0.8323	0.8291	0.8360
0.028	2.84	1300	0.1630	0.9705	0.8359	0.8344	0.8377
0.0292	2.95	1350	0.1743	0.9696	0.8352	0.8341	0.8366

AmirlyPhd/final_V1-bert-text-classification-model

final_V1-bert-text-classification-model