Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.5319	1.0	4293	0.5560	0.7699	0.7777	0.7699	0.7704
0.4627	2.0	8586	0.6588	0.7856	0.7868	0.7856	0.7860
0.3735	3.0	12879	0.8583	0.7835	0.7854	0.7835	0.7813
0.3549	4.0	17172	1.0078	0.7872	0.7869	0.7872	0.7866
0.2995	5.0	21465	1.0007	0.8024	0.8030	0.8024	0.8012
0.2579	6.0	25758	1.1501	0.8150	0.8152	0.8150	0.8151
0.2078	7.0	30051	1.2604	0.8097	0.8137	0.8097	0.8102
0.1635	8.0	34344	1.3755	0.8092	0.8092	0.8092	0.8085
0.1453	9.0	38637	1.4639	0.8097	0.8137	0.8097	0.8102
0.1431	10.0	42930	1.5612	0.8050	0.8048	0.8050	0.8044
0.085	11.0	47223	1.8216	0.8097	0.8121	0.8097	0.8101
0.0693	12.0	51516	1.7761	0.8087	0.8100	0.8087	0.8090
0.041	13.0	55809	1.8538	0.8082	0.8083	0.8082	0.8082
0.0391	14.0	60102	2.0022	0.8160	0.8158	0.8160	0.8158
0.0299	15.0	64395	2.0101	0.8124	0.8121	0.8124	0.8121
0.0226	16.0	68688	2.0396	0.8150	0.8152	0.8150	0.8151
0.0229	17.0	72981	2.1071	0.8171	0.8170	0.8171	0.8171
0.0133	18.0	77274	2.1047	0.8181	0.8182	0.8181	0.8182
0.0268	19.0	81567	2.2037	0.8208	0.8208	0.8208	0.8208
0.0068	20.0	85860	2.2252	0.8160	0.8165	0.8160	0.8162

jayanta/distilbert-base-uncased-sentiment-finetuned-memes-20epoch

distilbert-base-uncased-sentiment-finetuned-memes-20epoch