roberta-hateful-meme

This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	282	0.5978	0.696	0.6714	0.6698	0.6705
0.5742	2.0	564	0.6133	0.696	0.6691	0.6558	0.6599
0.5742	3.0	846	0.6326	0.694	0.6681	0.6385	0.6430
0.4682	4.0	1128	0.7503	0.662	0.6473	0.6564	0.6482
0.4682	5.0	1410	0.8875	0.687	0.6805	0.6004	0.5918
0.3907	6.0	1692	0.8072	0.651	0.6393	0.6489	0.6389
0.3907	7.0	1974	1.0383	0.639	0.6205	0.6266	0.6215
0.3445	8.0	2256	1.0678	0.643	0.6212	0.6257	0.6225
0.2996	9.0	2538	1.1221	0.649	0.6131	0.6025	0.6046
0.2996	10.0	2820	1.3531	0.646	0.6315	0.6397	0.6319
0.2749	11.0	3102	1.1258	0.655	0.6186	0.6031	0.6053
0.2749	12.0	3384	1.3594	0.641	0.6149	0.6166	0.6156
0.2635	13.0	3666	1.6264	0.637	0.5983	0.5884	0.5899
0.2635	14.0	3948	1.7278	0.636	0.6101	0.6120	0.6109
0.2382	15.0	4230	1.5670	0.635	0.6125	0.6165	0.6137
0.2387	16.0	4512	1.6334	0.63	0.6098	0.6149	0.6108
0.2387	17.0	4794	1.8990	0.632	0.5963	0.5908	0.5923
0.2214	18.0	5076	1.5244	0.644	0.6116	0.6073	0.6088
0.2214	19.0	5358	1.7948	0.639	0.6017	0.5928	0.5946
0.2138	20.0	5640	1.7595	0.638	0.6040	0.5991	0.6006
0.2138	21.0	5922	1.9552	0.633	0.6086	0.6114	0.6096
0.2038	22.0	6204	1.9481	0.636	0.6160	0.6214	0.6171
0.2038	23.0	6486	1.7951	0.648	0.6216	0.6227	0.6221
0.2003	24.0	6768	2.0499	0.636	0.6042	0.6016	0.6026
0.188	25.0	7050	2.3175	0.64	0.6147	0.6169	0.6156
0.188	26.0	7332	2.3284	0.634	0.6109	0.6145	0.6120
0.1838	27.0	7614	2.4239	0.634	0.6049	0.6046	0.6048
0.1838	28.0	7896	2.4116	0.639	0.6118	0.6127	0.6122
0.177	29.0	8178	2.4789	0.63	0.6052	0.6079	0.6062
0.177	30.0	8460	2.4643	0.631	0.6057	0.6081	0.6066