Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.7173	0.11	50	1.7812	0.3445	0.1475	0.1755	0.1881
0.9537	0.22	100	0.9779	0.7416	0.4399	0.4301	0.4701
0.373	0.33	150	0.6741	0.8321	0.6187	0.6018	0.6423
0.2625	0.44	200	0.3897	0.9070	0.6684	0.6503	0.6892
0.2216	0.55	250	0.3971	0.9089	0.6670	0.6465	0.6920
0.1583	0.66	300	0.3601	0.9029	0.6816	0.7957	0.6757
0.1661	0.76	350	0.2266	0.9180	0.6950	0.7317	0.7019
0.112	0.87	400	0.2525	0.9494	0.8020	0.7955	0.8132
0.0857	0.98	450	0.2701	0.9459	0.8124	0.8060	0.8232
0.1223	1.09	500	0.1781	0.9631	0.8281	0.8251	0.8319
0.0641	1.2	550	0.2162	0.9552	0.8236	0.8229	0.8258
0.0907	1.31	600	0.1486	0.9705	0.8351	0.8357	0.8346
0.0738	1.42	650	0.1380	0.9696	0.8300	0.8276	0.8331
0.0946	1.53	700	0.1577	0.9705	0.8357	0.8370	0.8345
0.0476	1.64	750	0.1497	0.9707	0.8349	0.8337	0.8363
0.0873	1.75	800	0.1722	0.9655	0.8318	0.8288	0.8353
0.0487	1.86	850	0.1782	0.9647	0.8312	0.8283	0.8345
0.0548	1.97	900	0.1610	0.9666	0.8336	0.8329	0.8346
0.0492	2.07	950	0.1423	0.9688	0.8338	0.8287	0.8393
0.0279	2.18	1000	0.1707	0.9669	0.8325	0.8287	0.8371
0.0401	2.29	1050	0.1583	0.9688	0.8337	0.8300	0.8382
0.0313	2.4	1100	0.1799	0.9647	0.8306	0.8274	0.8348
0.025	2.51	1150	0.1661	0.9669	0.8320	0.8311	0.8335
0.0043	2.62	1200	0.1933	0.9647	0.8305	0.8280	0.8339
0.0115	2.73	1250	0.1570	0.9696	0.8328	0.8308	0.8352
0.0198	2.84	1300	0.1538	0.9702	0.8340	0.8328	0.8355
0.0085	2.95	1350	0.1591	0.9694	0.8337	0.8327	0.8351

AmirlyPhd/final_V0-bert-text-classification-model

final_V1-bert-text-classification-model