Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.0074	0.08	500	1.2669	0.8482	0.8460	0.8695	0.8482
0.1731	0.16	1000	1.5018	0.8433	0.8411	0.8636	0.8433
0.2369	0.24	1500	2.0563	0.8486	0.8461	0.8721	0.8486
0.449	0.32	2000	2.4474	0.8323	0.8301	0.8511	0.8323
0.225	0.4	2500	2.1554	0.8471	0.8450	0.8662	0.8471
0.2479	0.48	3000	2.3559	0.8455	0.8438	0.8618	0.8455
0.2345	0.56	3500	2.3197	0.8440	0.8419	0.8639	0.8440
0.2424	0.64	4000	2.2472	0.8414	0.8396	0.8571	0.8414
0.1264	0.72	4500	2.3584	0.8418	0.8398	0.8599	0.8418
0.2699	0.8	5000	2.3153	0.8437	0.8419	0.8600	0.8437
0.1399	0.88	5500	2.3416	0.8471	0.8450	0.8665	0.8471
0.3039	0.96	6000	2.4308	0.8448	0.8429	0.8620	0.8448
0.0499	1.04	6500	2.5017	0.8448	0.8428	0.8628	0.8448
0.1455	1.12	7000	2.5024	0.8444	0.8425	0.8618	0.8444
0.3358	1.2	7500	2.3806	0.8425	0.8405	0.8609	0.8425
0.1951	1.28	8000	2.5782	0.8433	0.8415	0.8592	0.8433
0.2118	1.36	8500	2.5075	0.8429	0.8410	0.8597	0.8429
0.3137	1.44	9000	2.5662	0.8421	0.8403	0.8584	0.8421
0.1125	1.52	9500	2.5881	0.8425	0.8406	0.8602	0.8425
0.1198	1.6	10000	2.5321	0.8418	0.8400	0.8576	0.8418
0.2385	1.68	10500	2.5769	0.8410	0.8392	0.8573	0.8410

ManojAlexender/Finetuned_Final_LM_200k_v2

Finetuned_Final_LM_200k_v2