Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	62	0.1183	0.3810	0.3019	0.3368	0.9702
No log	2.0	124	0.0923	0.3986	0.5189	0.4508	0.9730
No log	3.0	186	0.0808	0.5	0.5943	0.5431	0.9765
No log	4.0	248	0.0951	0.6042	0.5472	0.5743	0.9790
No log	5.0	310	0.0939	0.5794	0.5849	0.5822	0.9795
No log	6.0	372	0.0949	0.5508	0.6132	0.5804	0.9792
No log	7.0	434	0.1004	0.5075	0.6415	0.5667	0.9782
No log	8.0	496	0.1110	0.5403	0.6321	0.5826	0.9784
0.0979	9.0	558	0.1139	0.5517	0.6038	0.5766	0.9789
0.0979	10.0	620	0.1153	0.5727	0.5943	0.5833	0.9795
0.0979	11.0	682	0.1238	0.5238	0.6226	0.5690	0.9776
0.0979	12.0	744	0.1249	0.5478	0.5943	0.5701	0.9786
0.0979	13.0	806	0.1263	0.5323	0.6226	0.5739	0.9786
0.0979	14.0	868	0.1303	0.5810	0.5755	0.5782	0.9792
0.0979	15.0	930	0.1358	0.4929	0.6509	0.5610	0.9773
0.0979	16.0	992	0.1305	0.5766	0.6038	0.5899	0.9793
0.0033	17.0	1054	0.1321	0.5323	0.6226	0.5739	0.9779
0.0033	18.0	1116	0.1353	0.5726	0.6321	0.6009	0.9789
0.0033	19.0	1178	0.1355	0.5462	0.6132	0.5778	0.9793
0.0033	20.0	1240	0.1346	0.5556	0.6132	0.5830	0.9796
0.0033	21.0	1302	0.1386	0.5403	0.6321	0.5826	0.9784
0.0033	22.0	1364	0.1389	0.5508	0.6132	0.5804	0.9790
0.0033	23.0	1426	0.1376	0.55	0.6226	0.5841	0.9790
0.0033	24.0	1488	0.1394	0.5641	0.6226	0.5919	0.9796
0.0012	25.0	1550	0.1408	0.55	0.6226	0.5841	0.9789
0.0012	26.0	1612	0.1413	0.5739	0.6226	0.5973	0.9792
0.0012	27.0	1674	0.1417	0.5455	0.6226	0.5815	0.9787
0.0012	28.0	1736	0.1424	0.5455	0.6226	0.5815	0.9787
0.0012	29.0	1798	0.1419	0.5546	0.6226	0.5867	0.9790
0.0012	30.0	1860	0.1417	0.5690	0.6226	0.5946	0.9790

reyhanemyr/distilbert-base-cased-finetuned-paper

distilbert-base-cased-finetuned-paper