Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.038	0.08	500	1.6709	0.8505	0.8483	0.8713	0.8505
0.3847	0.16	1000	2.0643	0.8403	0.8385	0.8556	0.8403
0.4135	0.24	1500	1.7622	0.8429	0.8399	0.8706	0.8429
0.3496	0.32	2000	2.2005	0.8482	0.8459	0.8701	0.8482
0.2201	0.4	2500	2.2234	0.8467	0.8445	0.8673	0.8467
0.306	0.48	3000	2.0981	0.8395	0.8375	0.8567	0.8395
0.2741	0.56	3500	2.4972	0.8421	0.8401	0.8607	0.8421
0.2189	0.64	4000	2.1950	0.8459	0.8440	0.8641	0.8459
0.1442	0.72	4500	2.3179	0.8418	0.8399	0.8589	0.8418
0.3744	0.8	5000	2.3932	0.8395	0.8376	0.8565	0.8395
0.2153	0.88	5500	2.3213	0.8406	0.8384	0.8601	0.8406
0.3273	0.96	6000	2.2511	0.8467	0.8444	0.8682	0.8467
0.0371	1.04	6500	2.4062	0.8406	0.8388	0.8573	0.8406
0.1964	1.12	7000	2.3856	0.8421	0.8401	0.8604	0.8421
0.3516	1.2	7500	2.3023	0.8444	0.8424	0.8631	0.8444
0.1166	1.28	8000	2.3752	0.8414	0.8394	0.8594	0.8414
0.2922	1.36	8500	2.4364	0.8425	0.8405	0.8612	0.8425
0.2452	1.44	9000	2.3738	0.8421	0.8402	0.8599	0.8421
0.1247	1.52	9500	2.4287	0.8421	0.8401	0.8604	0.8421
0.0475	1.6	10000	2.4438	0.8433	0.8413	0.8610	0.8433
0.2052	1.68	10500	2.4006	0.8429	0.8410	0.8602	0.8429

ManojAlexender/Finetuned_Final_LM_200k_v3

Finetuned_Final_LM_200k_v3