Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7099	1.0	17	0.6695	0.5294	0.3665
0.686	2.0	34	0.6288	0.5294	0.3665
0.5945	3.0	51	0.4339	0.8824	0.8824
0.3718	4.0	68	0.3600	0.8235	0.8235
0.1248	5.0	85	0.5730	0.8235	0.8223
0.0984	6.0	102	0.7659	0.7647	0.7647
0.0138	7.0	119	0.8271	0.8235	0.8223
0.0121	8.0	136	0.8223	0.8235	0.8223
0.0062	9.0	153	0.7349	0.8235	0.8223
0.0045	10.0	170	0.8381	0.7647	0.7597
0.0037	11.0	187	0.8636	0.7647	0.7597
0.0031	12.0	204	0.8603	0.8235	0.8223
0.0025	13.0	221	0.8714	0.8235	0.8223
0.0021	14.0	238	0.8864	0.8235	0.8223
0.002	15.0	255	0.9114	0.8235	0.8223
0.0017	16.0	272	0.9295	0.8235	0.8223
0.0014	17.0	289	0.9360	0.8235	0.8223
0.0013	18.0	306	0.9378	0.8235	0.8223
0.0012	19.0	323	0.9429	0.8235	0.8223
0.0012	20.0	340	0.9528	0.8235	0.8223
0.0011	21.0	357	0.9609	0.8235	0.8223
0.001	22.0	374	0.9667	0.8235	0.8223
0.001	23.0	391	0.9738	0.8235	0.8223
0.001	24.0	408	0.9804	0.8235	0.8223
0.0009	25.0	425	0.9827	0.8235	0.8223
0.0009	26.0	442	0.9863	0.8235	0.8223
0.0008	27.0	459	0.9910	0.8235	0.8223
0.0008	28.0	476	0.9949	0.8235	0.8223
0.0007	29.0	493	1.0002	0.8235	0.8223
0.0008	30.0	510	1.0042	0.8235	0.8223
0.0007	31.0	527	1.0058	0.8235	0.8223
0.0007	32.0	544	1.0091	0.8235	0.8223
0.0006	33.0	561	1.0118	0.8235	0.8223
0.0006	34.0	578	1.0148	0.8235	0.8223
0.0007	35.0	595	1.0163	0.8235	0.8223
0.0006	36.0	612	1.0174	0.8235	0.8223
0.0006	37.0	629	1.0185	0.8235	0.8223
0.0006	38.0	646	1.0194	0.8235	0.8223
0.0006	39.0	663	1.0200	0.8235	0.8223
0.0006	40.0	680	1.0202	0.8235	0.8223

rajesh426/distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion