videomae-tiny-92-kinetics-binary-finetuned-xd-violence

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7844
• Accuracy: 0.6721
• Precision: 0.7322
• Recall: 0.5929
• F1: 0.6553
• Tp: 134
• Tn: 155
• Fp: 49
• Fn: 92
• Specificity: 0.7598
• Unsafe Precision At Default Threshold: 0.6139
• Unsafe Recall At Default Threshold: 0.7035
• Unsafe F1 At Default Threshold: 0.6557
• Unsafe Precision At Best Threshold: 0.6139
• Unsafe Recall At Best Threshold: 0.7035
• Unsafe Fbeta At Best Threshold: 0.6836
• Best Threshold: 0.25
• Roc Auc: 0.6918
• Average Precision: 0.7164

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 92
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Accuracy	Average Precision	Best Threshold	F1	Fn	Fp	Validation Loss	Precision	Recall	Roc Auc	Specificity	Tn	Tp	Unsafe F1 At Default Threshold	Unsafe Fbeta At Best Threshold	Unsafe Precision At Best Threshold	Unsafe Precision At Default Threshold	Unsafe Recall At Best Threshold	Unsafe Recall At Default Threshold
0.715	1.0	422	0.5349	0.5972	0.25	0.6226	61	139	0.7038	0.5428	0.7301	0.5644	0.3186	65	165	0.6922	0.8490	0.5293	0.5293	1.0	1.0
0.6737	2.0	844	0.5860	0.6177	0.3	0.5616	112	66	0.6732	0.6333	0.5044	0.6353	0.6765	138	114	0.6922	0.8491	0.5398	0.5293	0.9912	1.0
0.6639	3.0	1266	0.6256	0.7115	0.25	0.5924	109	52	0.6413	0.6923	0.5177	0.7109	0.7451	152	117	0.6998	0.8516	0.5396	0.5396	0.9956	0.9956
0.7136	4.0	1688	0.6581	0.7143	0.3	0.6316	100	47	0.6424	0.7283	0.5575	0.7135	0.7696	157	126	0.6933	0.8511	0.5437	0.5305	0.9912	1.0
0.6542	5.0	2110	0.6767	0.7281	0.325	0.7203	47	92	0.6289	0.6605	0.7920	0.7326	0.5490	112	179	0.6911	0.8510	0.5383	0.5280	0.9956	1.0
0.64	6.0	2532	0.6605	0.7415	0.25	0.6332	100	46	0.6257	0.7326	0.5575	0.7230	0.7745	158	126	0.7044	0.8524	0.5463	0.5463	0.9912	0.9912
0.5858	7.0	2954	0.6581	0.7420	0.25	0.6059	113	34	0.6348	0.7687	0.5	0.7312	0.8333	170	113	0.7243	0.8151	0.6109	0.6109	0.8894	0.8894
0.6228	8.0	3376	0.6698	0.7342	0.25	0.6570	90	52	0.6220	0.7234	0.6018	0.7356	0.7451	152	136	0.7138	0.8538	0.5606	0.5606	0.9823	0.9823
0.6999	9.0	3798	0.6698	0.7371	0.3	0.6787	76	66	0.6204	0.6944	0.6637	0.7298	0.6765	138	150	0.6965	0.8517	0.5450	0.5343	0.9912	1.0
0.6338	10.0	4220	0.6791	0.7254	0.325	0.7064	60	78	0.6270	0.6803	0.7345	0.7254	0.6176	126	166	0.6934	0.8511	0.5493	0.5319	0.9867	0.9956
0.6303	11.0	4642	0.6744	0.7243	0.25	0.6916	69	71	0.6278	0.6886	0.6947	0.7191	0.6520	133	157	0.7057	0.8511	0.5493	0.5493	0.9867	0.9867
0.5972	12.0	5064	0.6442	0.7258	0.25	0.64	90	63	0.6289	0.6834	0.6018	0.7192	0.6912	141	136	0.7046	0.8505	0.5479	0.5479	0.9867	0.9867
0.6028	13.0	5486	0.6605	0.7486	0.275	0.6473	92	54	0.6168	0.7128	0.5929	0.7372	0.7353	150	134	0.6986	0.8456	0.5662	0.5461	0.9646	0.9690
0.6118	14.0	5908	0.6349	0.7392	0.25	0.5901	113	44	0.6310	0.7197	0.5	0.7263	0.7843	160	113	0.7074	0.8340	0.5646	0.5646	0.9469	0.9469
0.6541	15.0	6330	0.6419	0.7365	0.275	0.6188	101	53	0.6237	0.7022	0.5531	0.7271	0.7402	151	125	0.7006	0.8424	0.5651	0.5473	0.9602	0.9735
0.5885	16.0	6752	0.6628	0.7418	0.25	0.6329	101	44	0.6265	0.7396	0.5531	0.7241	0.7843	160	125	0.7074	0.8462	0.5556	0.5556	0.9735	0.9735
0.5378	17.0	7174	0.6512	0.7396	0.25	0.6287	99	51	0.6252	0.7135	0.5619	0.7244	0.75	153	127	0.7055	0.8410	0.5561	0.5561	0.9646	0.9646
0.6367	18.0	7596	0.6581	0.7411	0.25	0.6423	94	53	0.6248	0.7135	0.5841	0.7268	0.7402	151	132	0.7024	0.8353	0.5553	0.5553	0.9558	0.9558
0.6296	19.0	8018	0.6535	0.7412	0.25	0.6284	100	49	0.6264	0.72	0.5575	0.7266	0.7598	155	126	0.7016	0.8307	0.5573	0.5573	0.9469	0.9469
0.6629	20.0	8440	0.6535	0.7410	0.25	0.6284	100	49	0.6274	0.72	0.5575	0.7261	0.7598	155	126	0.6995	0.8275	0.5561	0.5561	0.9425	0.9425
0.6318	21.0	8862	0.6608	0.6023	0.7434	0.3717	0.4956	84	175	29	142	0.8578	0.5710	0.9071	0.7009	0.5710	0.9071	0.8116	0.25	0.7018	0.7147
0.5924	22.0	9284	0.6293	0.6512	0.7468	0.5088	0.6053	115	165	39	111	0.8088	0.5522	0.9602	0.7011	0.5522	0.9602	0.8365	0.25	0.7125	0.7407
0.6122	23.0	9706	0.6270	0.6465	0.6927	0.5885	0.6364	133	145	59	93	0.7108	0.5370	0.9956	0.6977	0.5437	0.9912	0.8511	0.275	0.7122	0.7250
0.6009	24.0	10128	0.6493	0.6349	0.7594	0.4469	0.5627	101	172	32	125	0.8431	0.5658	0.8938	0.6930	0.5658	0.8938	0.8010	0.25	0.7082	0.7303
0.5984	25.0	10550	0.6321	0.6605	0.7	0.6195	0.6573	140	144	60	86	0.7059	0.5459	0.9735	0.6995	0.5459	0.9735	0.8416	0.25	0.7099	0.7335
0.6635	26.0	10972	0.6477	0.6349	0.7091	0.5177	0.5985	117	156	48	109	0.7647	0.5723	0.8761	0.6923	0.5723	0.8761	0.7920	0.25	0.7036	0.7222
0.6299	27.0	11394	0.6421	0.6349	0.7255	0.4912	0.5858	111	162	42	115	0.7941	0.5806	0.8761	0.6984	0.5806	0.8761	0.7952	0.25	0.7096	0.7346
0.5977	28.0	11816	0.6281	0.6558	0.7378	0.5354	0.6205	121	161	43	105	0.7892	0.545	0.9646	0.6965	0.545	0.9646	0.8359	0.25	0.7157	0.7376
0.5986	29.0	12238	0.6464	0.6442	0.7829	0.4469	0.5690	101	176	28	125	0.8627	0.5752	0.8628	0.6903	0.6161	0.8451	0.7867	0.275	0.7198	0.7434
0.5657	30.0	12660	0.6417	0.6349	0.6885	0.5575	0.6161	126	147	57	100	0.7206	0.5615	0.9292	0.7	0.5615	0.9292	0.8216	0.25	0.6966	0.7209
0.5328	31.0	13082	0.6350	0.6372	0.6716	0.6062	0.6372	137	137	67	89	0.6716	0.5570	0.9513	0.7026	0.5570	0.9513	0.8333	0.25	0.7082	0.7264
0.5098	32.0	13504	0.6279	0.6581	0.7112	0.5885	0.6441	133	150	54	93	0.7353	0.5618	0.9248	0.6990	0.5618	0.9248	0.8190	0.25	0.7183	0.7380
0.5731	33.0	13926	0.6433	0.6488	0.7049	0.5708	0.6308	129	150	54	97	0.7353	0.5481	0.9336	0.6907	0.5481	0.9336	0.8185	0.25	0.6974	0.7182
0.5336	34.0	14348	0.6450	0.6372	0.6591	0.6416	0.6502	145	129	75	81	0.6324	0.5570	0.9513	0.7026	0.5570	0.9513	0.8333	0.25	0.7067	0.7260
0.5981	35.0	14770	0.6483	0.6651	0.6916	0.6549	0.6727	148	138	66	78	0.6765	0.5493	0.9115	0.6855	0.5493	0.9115	0.8053	0.25	0.7109	0.7307
0.6054	36.0	15192	0.6534	0.6465	0.7403	0.5044	0.6	114	164	40	112	0.8039	0.5816	0.8673	0.6963	0.5816	0.8673	0.7897	0.25	0.7020	0.7302
0.5677	37.0	15614	0.6662	0.6233	0.6720	0.5531	0.6068	125	143	61	101	0.7010	0.5774	0.8584	0.6904	0.5774	0.8584	0.7823	0.25	0.6920	0.7038
0.5865	38.0	16036	0.6593	0.6395	0.7029	0.5442	0.6135	123	152	52	103	0.7451	0.5974	0.8274	0.6939	0.5974	0.8274	0.7683	0.25	0.7059	0.7295
0.5453	39.0	16458	0.6554	0.6326	0.7073	0.5133	0.5949	116	156	48	110	0.7647	0.5912	0.8319	0.6912	0.5912	0.8319	0.7692	0.25	0.7073	0.7301
0.5755	40.0	16880	0.6818	0.6233	0.7254	0.4558	0.5598	103	165	39	123	0.8088	0.6329	0.8009	0.7070	0.6329	0.8009	0.7605	0.25	0.7084	0.7235
0.4339	41.0	17302	0.6471	0.6535	0.7059	0.5841	0.6392	132	149	55	94	0.7304	0.625	0.8850	0.7326	0.625	0.8850	0.8170	0.25	0.7338	0.7396
0.638	42.0	17724	0.6720	0.6372	0.6989	0.5442	0.6119	123	151	53	103	0.7402	0.5987	0.8186	0.6916	0.5987	0.8186	0.7626	0.25	0.7078	0.7347
0.6158	43.0	18146	0.6449	0.6465	0.6814	0.6150	0.6465	139	139	65	87	0.6814	0.5580	0.9159	0.6935	0.5787	0.9115	0.8175	0.275	0.7109	0.7256
0.5543	44.0	18568	0.6830	0.6070	0.6887	0.4602	0.5517	104	157	47	122	0.7696	0.5839	0.8319	0.6861	0.5839	0.8319	0.7667	0.25	0.6774	0.7027
0.6408	45.0	18990	0.6737	0.6419	0.6651	0.6416	0.6532	145	131	73	81	0.6422	0.5714	0.8850	0.6944	0.5714	0.8850	0.7974	0.25	0.6950	0.7267
0.5412	46.0	19412	0.6515	0.6419	0.7169	0.5265	0.6071	119	157	47	107	0.7696	0.5794	0.8717	0.6961	0.5794	0.8717	0.7918	0.25	0.7118	0.7279
0.4707	47.0	19834	0.6639	0.6326	0.6954	0.5354	0.605	121	151	53	105	0.7402	0.5740	0.8584	0.6879	0.5740	0.8584	0.7810	0.25	0.6972	0.7280
0.6093	48.0	20256	0.6578	0.6558	0.7216	0.5619	0.6318	127	155	49	99	0.7598	0.5799	0.8673	0.6950	0.5799	0.8673	0.7890	0.25	0.6995	0.7390
0.5668	49.0	20678	0.6748	0.6372	0.7273	0.4956	0.5895	112	162	42	114	0.7941	0.6201	0.7655	0.6851	0.6201	0.7655	0.7312	0.25	0.7157	0.7447
0.5312	50.0	21100	0.6832	0.6605	0.7105	0.5973	0.6490	135	149	55	91	0.7304	0.6032	0.8274	0.6978	0.6032	0.8274	0.7702	0.25	0.7030	0.7120
0.5586	51.0	21522	0.7203	0.6279	0.7260	0.4690	0.5699	106	164	40	120	0.8039	0.5943	0.7389	0.6588	0.5943	0.7389	0.7046	0.25	0.6823	0.7029
0.5103	52.0	21944	0.7010	0.6349	0.6949	0.5442	0.6104	123	150	54	103	0.7353	0.5807	0.8274	0.6825	0.5807	0.8274	0.7626	0.25	0.6904	0.7124
0.511	53.0	22366	0.6848	0.6326	0.6868	0.5531	0.6127	125	147	57	101	0.7206	0.5916	0.8142	0.6853	0.5916	0.8142	0.7572	0.25	0.6976	0.7328
0.5577	54.0	22788	0.6841	0.6419	0.6593	0.6593	0.6593	149	127	77	77	0.6225	0.5677	0.8717	0.6876	0.5677	0.8717	0.7874	0.25	0.7045	0.7373
0.5502	55.0	23210	0.7033	0.6651	0.6881	0.6637	0.6757	150	136	68	76	0.6667	0.5610	0.8540	0.6772	0.5610	0.8540	0.7732	0.25	0.6879	0.6960
0.5591	56.0	23632	0.7198	0.6326	0.7024	0.5221	0.5990	118	154	50	108	0.7549	0.6049	0.7655	0.6758	0.6049	0.7655	0.7269	0.25	0.6908	0.7164
0.4376	57.0	24054	0.7017	0.6419	0.7308	0.5044	0.5969	114	162	42	112	0.7941	0.6322	0.7301	0.6776	0.6322	0.7301	0.7082	0.25	0.7125	0.7361
0.4775	58.0	24476	0.6878	0.6419	0.7195	0.5221	0.6051	118	158	46	108	0.7745	0.6041	0.7832	0.6821	0.6041	0.7832	0.7393	0.25	0.7091	0.7314
0.5433	59.0	24898	0.6964	0.6512	0.7021	0.5841	0.6377	132	148	56	94	0.7255	0.5823	0.8142	0.6790	0.5823	0.8142	0.7541	0.25	0.6967	0.7304
0.441	60.0	25320	0.7444	0.6395	0.7383	0.4867	0.5867	110	165	39	116	0.8088	0.608	0.6726	0.6387	0.608	0.6726	0.6586	0.25	0.6862	0.7130
0.6373	61.0	25742	0.7255	0.6465	0.7011	0.5708	0.6293	129	149	55	97	0.7304	0.5892	0.7743	0.6692	0.5892	0.7743	0.7286	0.25	0.6895	0.7127
0.481	62.0	26164	0.7204	0.6581	0.6890	0.6372	0.6621	144	139	65	82	0.6814	0.5875	0.8319	0.6886	0.5875	0.8319	0.7680	0.25	0.6975	0.7171
0.3889	63.0	26586	0.7529	0.6279	0.6813	0.5487	0.6078	124	146	58	102	0.7157	0.6050	0.7522	0.6706	0.6050	0.7522	0.7173	0.25	0.6752	0.6935
0.4987	64.0	27008	0.7428	0.6512	0.7111	0.5664	0.6305	128	152	52	98	0.7451	0.6137	0.7522	0.6759	0.6137	0.7522	0.7197	0.25	0.6906	0.7147
0.4427	65.0	27430	0.7427	0.6535	0.7127	0.5708	0.6339	129	152	52	97	0.7451	0.5964	0.7389	0.6601	0.5964	0.7389	0.7052	0.25	0.6845	0.7239
0.4008	66.0	27852	0.7042	0.6698	0.71	0.6283	0.6667	142	146	58	84	0.7157	0.5966	0.7788	0.6756	0.6184	0.7743	0.7372	0.275	0.7198	0.7375
0.5188	67.0	28274	0.7150	0.6512	0.7159	0.5575	0.6269	126	154	50	100	0.7549	0.6079	0.7478	0.6706	0.6079	0.7478	0.7149	0.25	0.6955	0.7317
0.4265	68.0	28696	0.7367	0.6698	0.7333	0.5841	0.6502	132	156	48	94	0.7647	0.6125	0.7345	0.6680	0.6125	0.7345	0.7064	0.25	0.6938	0.7194
0.3242	69.0	29118	0.8226	0.6302	0.7190	0.4867	0.5805	110	161	43	116	0.7892	0.6376	0.6460	0.6418	0.6518	0.6460	0.6472	0.275	0.6717	0.7079
0.6007	70.0	29540	0.7779	0.6605	0.7273	0.5664	0.6368	128	156	48	98	0.7647	0.62	0.6858	0.6513	0.62	0.6858	0.6716	0.25	0.6882	0.7249
0.4966	71.0	29962	0.7819	0.6395	0.7233	0.5088	0.5974	115	160	44	111	0.7843	0.6025	0.6504	0.6255	0.6025	0.6504	0.6402	0.25	0.6728	0.7103
0.4704	72.0	30384	0.7876	0.6372	0.7134	0.5177	0.6	117	157	47	109	0.7696	0.6314	0.6593	0.6450	0.6314	0.6593	0.6535	0.25	0.6820	0.7114
0.4783	73.0	30806	0.7493	0.6674	0.7399	0.5664	0.6416	128	159	45	98	0.7794	0.6389	0.7124	0.6736	0.6389	0.7124	0.6964	0.25	0.7031	0.7349
0.4718	74.0	31228	0.7350	0.6628	0.7035	0.6195	0.6588	140	145	59	86	0.7108	0.5993	0.7478	0.6654	0.5993	0.7478	0.7125	0.25	0.7077	0.7351
0.4601	75.0	31650	0.7951	0.6442	0.7212	0.5265	0.6087	119	158	46	107	0.7745	0.6220	0.6770	0.6483	0.6220	0.6770	0.6652	0.25	0.6789	0.7148
0.5263	76.0	32072	0.7668	0.6581	0.7090	0.5929	0.6458	134	149	55	92	0.7304	0.5934	0.7168	0.6493	0.5934	0.7168	0.6882	0.25	0.6854	0.7109
0.4233	77.0	32494	0.7819	0.6651	0.7356	0.5664	0.64	128	158	46	98	0.7745	0.6102	0.6858	0.6458	0.6102	0.6858	0.6693	0.25	0.6820	0.7109
0.5201	78.0	32916	0.7647	0.6419	0.6915	0.5752	0.6280	130	146	58	96	0.7157	0.6058	0.7345	0.664	0.6058	0.7345	0.7046	0.25	0.6911	0.7274
0.3932	79.0	33338	0.7824	0.6651	0.7092	0.6150	0.6588	139	147	57	87	0.7206	0.6151	0.7212	0.6640	0.6151	0.7212	0.6972	0.25	0.6963	0.7194
0.4442	80.0	33760	0.7667	0.6628	0.7143	0.5973	0.6506	135	150	54	91	0.7353	0.6082	0.7212	0.6599	0.6082	0.7212	0.6954	0.25	0.6932	0.7237
0.3872	81.0	34182	0.7803	0.6721	0.7374	0.5841	0.6519	132	157	47	94	0.7696	0.6260	0.7035	0.6625	0.6260	0.7035	0.6865	0.25	0.6946	0.7193
0.4327	82.0	34604	0.7694	0.6651	0.7278	0.5796	0.6453	131	155	49	95	0.7598	0.6084	0.7080	0.6544	0.6084	0.7080	0.6855	0.25	0.6912	0.7158
0.4644	83.0	35026	0.7887	0.6674	0.7485	0.5531	0.6361	125	162	42	101	0.7941	0.6245	0.6770	0.6497	0.6245	0.6770	0.6658	0.25	0.6872	0.7172
0.4664	84.0	35448	0.7796	0.6628	0.7143	0.5973	0.6506	135	150	54	91	0.7353	0.6139	0.7035	0.6557	0.6295	0.6991	0.6840	0.275	0.6930	0.7162
0.4565	85.0	35870	0.7816	0.6651	0.7330	0.5708	0.6418	129	157	47	97	0.7696	0.6163	0.7035	0.6570	0.6163	0.7035	0.6842	0.25	0.6909	0.7190
0.5554	86.0	36292	0.7856	0.6721	0.7401	0.5796	0.6501	131	158	46	95	0.7745	0.6235	0.7035	0.6611	0.6235	0.7035	0.6859	0.25	0.6906	0.7167
0.436	87.0	36714	0.7825	0.6698	0.7283	0.5929	0.6537	134	154	50	92	0.7549	0.6139	0.7035	0.6557	0.6310	0.7035	0.6877	0.275	0.6924	0.7174
0.3596	88.0	37136	0.7835	0.6744	0.7337	0.5973	0.6585	135	155	49	91	0.7598	0.6139	0.7035	0.6557	0.6139	0.7035	0.6836	0.25	0.6922	0.7178
0.276	89.0	37558	0.7840	0.6698	0.7234	0.6018	0.6570	136	152	52	90	0.7451	0.6139	0.7035	0.6557	0.6139	0.7035	0.6836	0.25	0.6923	0.7171
0.4381	90.0	37980	0.7844	0.6721	0.7322	0.5929	0.6553	134	155	49	92	0.7598	0.6139	0.7035	0.6557	0.6139	0.7035	0.6836	0.25	0.6921	0.7167
0.3547	91.0	38402	0.7841	0.6721	0.7322	0.5929	0.6553	134	155	49	92	0.7598	0.6139	0.7035	0.6557	0.6139	0.7035	0.6836	0.25	0.6918	0.7163
0.4284	92.0	38824	0.7844	0.6721	0.7322	0.5929	0.6553	134	155	49	92	0.7598	0.6139	0.7035	0.6557	0.6139	0.7035	0.6836	0.25	0.6918	0.7164

Framework versions

• Transformers 4.51.3
• Pytorch 2.5.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.4