Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.2288	0.09	100	0.7615	0.6716	0.6578	0.7461	0.6716
0.1103	0.17	200	0.6396	0.7453	0.7452	0.7609	0.7453
0.2204	0.26	300	1.3317	0.6596	0.6334	0.7863	0.6596
0.1872	0.34	400	0.8661	0.6333	0.5996	0.7712	0.6333
0.1261	0.43	500	1.9369	0.7130	0.7023	0.7906	0.7130
0.1902	0.52	600	2.2998	0.6823	0.6695	0.7573	0.6823
0.3639	0.6	700	4.0162	0.6915	0.6815	0.7562	0.6915
0.1655	0.69	800	2.2680	0.6859	0.6715	0.7705	0.6859
0.1534	0.77	900	2.7909	0.7951	0.7937	0.7959	0.7951
0.288	0.86	1000	2.9443	0.7752	0.7751	0.7920	0.7752
0.2261	0.95	1100	2.9976	0.7318	0.7267	0.7810	0.7318
0.162	1.03	1200	2.4699	0.8063	0.8067	0.8096	0.8063
0.0379	1.12	1300	2.6939	0.8051	0.8051	0.8051	0.8051
0.1852	1.2	1400	3.9005	0.7031	0.6940	0.7669	0.7031
0.1258	1.29	1500	2.6666	0.8023	0.8027	0.8042	0.8023
0.1707	1.38	1600	2.8308	0.7892	0.7892	0.7892	0.7892
0.0817	1.46	1700	3.6049	0.7573	0.7497	0.7700	0.7573
0.3516	1.55	1800	2.6816	0.7772	0.7777	0.7846	0.7772
0.5502	1.63	1900	2.2493	0.8131	0.8099	0.8203	0.8131
0.1531	1.72	2000	3.2802	0.7417	0.7407	0.7645	0.7417
0.1112	1.81	2100	1.9678	0.7748	0.7737	0.8010	0.7748
0.1617	1.89	2200	3.0694	0.7501	0.7490	0.7746	0.7501
0.1912	1.98	2300	3.2285	0.7529	0.7530	0.7659	0.7529
0.2725	2.06	2400	3.0008	0.7800	0.7805	0.7826	0.7800
0.1694	2.15	2500	3.5542	0.7290	0.7286	0.7459	0.7290
0.1283	2.24	2600	4.4577	0.7003	0.6944	0.7466	0.7003
0.1321	2.32	2700	3.1128	0.7350	0.7356	0.7411	0.7350
0.0	2.41	2800	4.2938	0.7222	0.7149	0.7828	0.7222
0.0871	2.49	2900	3.9750	0.7266	0.7237	0.7607	0.7266
0.0952	2.58	3000	3.7697	0.7437	0.7424	0.7690	0.7437
0.1034	2.67	3100	3.7283	0.7350	0.7312	0.7764	0.7350
0.2425	2.75	3200	3.4196	0.7704	0.7707	0.7811	0.7704

ManojAlexender/Roberta-base-Rewritten-commit_messages_v2

Roberta-base-Rewritten-commit_messages_v2