Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	23	1.2765	1.0	0.0021	0.0041	0.7090
No log	2.0	46	0.8236	0.4543	0.3562	0.3993	0.7750
No log	3.0	69	0.6200	0.5096	0.5362	0.5226	0.8046
No log	4.0	92	0.5748	0.5196	0.6359	0.5719	0.8128
No log	5.0	115	0.5690	0.5048	0.6983	0.5860	0.8151
No log	6.0	138	0.4617	0.5851	0.6997	0.6373	0.8557
No log	7.0	161	0.4558	0.5852	0.7367	0.6523	0.8585
No log	8.0	184	0.3995	0.6241	0.7535	0.6827	0.8832
No log	9.0	207	0.3679	0.6446	0.7549	0.6954	0.8926
No log	10.0	230	0.3332	0.6867	0.7724	0.7270	0.9059
No log	11.0	253	0.3346	0.6805	0.7902	0.7313	0.9068
No log	12.0	276	0.3303	0.6900	0.8012	0.7414	0.9100
No log	13.0	299	0.3104	0.7041	0.8029	0.7503	0.9171
No log	14.0	322	0.3194	0.7037	0.8149	0.7552	0.9158
No log	15.0	345	0.2978	0.7342	0.8125	0.7714	0.9255
No log	16.0	368	0.2993	0.7347	0.8221	0.7759	0.9266
No log	17.0	391	0.3009	0.7346	0.8255	0.7774	0.9258
No log	18.0	414	0.3006	0.7341	0.8255	0.7772	0.9259
No log	19.0	437	0.2988	0.7379	0.8272	0.7800	0.9267
No log	20.0	460	0.2997	0.7370	0.8282	0.7800	0.9266

ktgiahieu/RoBERTa-large-PM-M3-Voc-hf-finetuned-ner

RoBERTa-large-PM-M3-Voc-hf-finetuned-ner