Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall	Accuracy
0.7067	0.28	10	0.6843	0.0	0.0	0.0	0.5533
0.7087	0.56	20	0.6786	0.0	0.0	0.0	0.5533
0.6887	0.83	30	0.6543	0.7241	0.8571	0.6269	0.7867
0.6773	1.11	40	0.6069	0.816	0.8793	0.7612	0.8467
0.6073	1.39	50	0.4951	0.7711	0.6465	0.9552	0.7467
0.5731	1.67	60	0.3976	0.8219	0.7595	0.8955	0.8267
0.4806	1.94	70	0.3487	0.8421	0.8485	0.8358	0.86
0.4685	2.22	80	0.5218	0.7811	0.6471	0.9851	0.7533
0.4243	2.5	90	0.8471	0.7322	0.5776	1.0	0.6733
0.3692	2.78	100	0.3453	0.8514	0.7778	0.9403	0.8533
0.4633	3.06	110	0.2813	0.8611	0.8052	0.9254	0.8667
0.3334	3.33	120	0.3090	0.8514	0.7778	0.9403	0.8533
0.3167	3.61	130	0.3531	0.8497	0.7558	0.9701	0.8467
0.2615	3.89	140	0.2679	0.8873	0.84	0.9403	0.8933
0.2672	4.17	150	0.2528	0.8889	0.8312	0.9552	0.8933
0.2103	4.44	160	0.2905	0.8649	0.7901	0.9552	0.8667
0.2208	4.72	170	0.2992	0.8649	0.7901	0.9552	0.8667
0.2267	5.0	180	0.2911	0.8859	0.8049	0.9851	0.8867
0.1623	5.28	190	0.2355	0.9014	0.8533	0.9552	0.9067
0.2148	5.56	200	0.2200	0.9091	0.8553	0.9701	0.9133
0.1537	5.83	210	0.2694	0.9041	0.8354	0.9851	0.9067

CoCoRooXin/finetuned_robert

finetuned_robert