Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	68	0.1941	0.2474	0.2034	0.2233	0.9438
No log	2.0	136	0.1462	0.3680	0.3602	0.3640	0.9593
No log	3.0	204	0.1154	0.4921	0.5254	0.5082	0.9667
No log	4.0	272	0.1121	0.5420	0.6017	0.5703	0.9675
No log	5.0	340	0.1291	0.5714	0.6102	0.5902	0.9676
No log	6.0	408	0.1355	0.5152	0.6483	0.5741	0.9649
No log	7.0	476	0.1396	0.5694	0.6949	0.6260	0.9671
0.1425	8.0	544	0.1459	0.5484	0.6483	0.5942	0.9675
0.1425	9.0	612	0.1623	0.5290	0.6186	0.5703	0.9661
0.1425	10.0	680	0.1545	0.5938	0.6441	0.6179	0.9705
0.1425	11.0	748	0.1540	0.6171	0.7034	0.6574	0.9709
0.1425	12.0	816	0.1621	0.5985	0.6822	0.6376	0.9696
0.1425	13.0	884	0.1672	0.5664	0.6864	0.6207	0.9699
0.1425	14.0	952	0.1828	0.5563	0.7119	0.6245	0.9675
0.0068	15.0	1020	0.1751	0.6216	0.6822	0.6505	0.9714
0.0068	16.0	1088	0.1738	0.5933	0.6737	0.6310	0.9703
0.0068	17.0	1156	0.1740	0.6345	0.6695	0.6515	0.9717
0.0068	18.0	1224	0.1850	0.6062	0.6653	0.6343	0.9707
0.0068	19.0	1292	0.1856	0.6216	0.6822	0.6505	0.9714
0.0068	20.0	1360	0.1936	0.6015	0.6653	0.6318	0.9718
0.0068	21.0	1428	0.1844	0.6367	0.6907	0.6626	0.9724
0.0068	22.0	1496	0.1882	0.6092	0.6737	0.6398	0.9709
0.0021	23.0	1564	0.1887	0.6423	0.6695	0.6556	0.9721
0.0021	24.0	1632	0.1874	0.5985	0.6568	0.6263	0.9710
0.0021	25.0	1700	0.1861	0.5874	0.6695	0.6257	0.9707
0.0021	26.0	1768	0.1868	0.5918	0.6695	0.6282	0.9709
0.0021	27.0	1836	0.1858	0.5970	0.6780	0.6349	0.9714
0.0021	28.0	1904	0.1842	0.6	0.6737	0.6347	0.9713
0.0021	29.0	1972	0.1847	0.6124	0.6695	0.6397	0.9714
0.0012	30.0	2040	0.1849	0.6124	0.6695	0.6397	0.9714

reyhanemyr/distilbert-base-cased-finetuned-paper2

distilbert-base-cased-finetuned-paper2