videomae-base-finetuned-ucf101-subset-finetuned-subset

A continuación se presentan los hiperparámetros utilizados durante el entrenamiento:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam con betas=(0.9,0.999) y epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 3510

Resultados del entrenamiento:

Pérdida en el entrenamiento	Epoca	Paso	Pérdida de Validación	Precisión
1.58	0.02	59	1.5476	0.3733
1.3617	1.02	118	1.2123	0.4977
1.1668	2.02	177	1.3331	0.3825
1.1751	3.02	236	1.2529	0.3687
0.9961	4.02	295	1.0008	0.6452
1.0562	5.02	354	1.0535	0.5392
1.0189	6.02	413	0.9321	0.6866
0.8553	7.02	472	0.8955	0.5853
0.8961	8.02	531	0.7889	0.7419
1.1626	9.02	590	0.9532	0.6175
0.7951	10.02	649	1.1165	0.5530
0.9042	11.02	708	0.7012	0.7650
0.8642	12.02	767	0.7589	0.6774
0.8017	13.02	826	0.7485	0.6959
0.7523	14.02	885	0.5617	0.7834
0.7223	15.02	944	1.0344	0.6129
0.6164	16.02	1003	0.7275	0.7419
0.6892	17.02	1062	0.6162	0.7788
0.7865	18.02	1121	0.7966	0.6590
0.6387	19.02	1180	0.7436	0.6774
0.6181	20.02	1239	0.7137	0.7373
0.6085	21.02	1298	0.9581	0.6682
0.7109	22.02	1357	0.7746	0.7097
0.7686	23.02	1416	0.7969	0.7097
0.5995	24.02	1475	1.0075	0.6129
0.5854	25.02	1534	0.7389	0.7419
0.575	26.02	1593	0.7198	0.7143
0.7478	27.02	1652	0.6098	0.7742
0.7204	28.02	1711	0.6459	0.7972
0.4325	29.02	1770	0.7268	0.7512
0.593	30.02	1829	0.5901	0.7880
0.6432	31.02	1888	0.5924	0.7880
0.4821	32.02	1947	0.573	0.8157
0.9189	33.02	2006	0.6242	0.7834
0.6179	34.02	2065	0.5847	0.8018
0.5767	35.02	2124	0.5965	0.8249
0.5298	36.02	2183	0.7918	0.7235
0.5651	37.02	2242	0.8338	0.7327
0.9236	38.02	2301	0.8371	0.7143
0.4854	39.02	2360	0.7115	0.7696
0.4837	40.02	2419	0.6326	0.7696
0.4142	41.02	2478	0.6266	0.8203
0.3309	42.02	2537	0.5806	0.8111
0.3939	43.02	2596	0.5746	0.8249
0.4993	44.02	2655	0.6114	0.8387
0.3785	45.02	2714	0.6317	0.8018
0.5224	46.02	2773	0.6667	0.7972
0.5705	47.02	2832	0.6382	0.7926
0.3342	48.02	2891	0.5592	0.8157
0.5044	49.02	2950	0.5748	0.7926
0.3838	50.02	3009	0.605	0.7788
0.5099	51.02	3068	0.6557	0.7604
0.4335	52.02	3127	0.7119	0.7512
0.4122	53.02	3186	0.6562	0.7788
0.4431	54.02	3245	0.6701	0.7650
0.4536	55.02	3304	0.6659	0.7696
0.3867	56.02	3363	0.6632	0.7788
0.3878	57.02	3422	0.6911	0.7742
0.3853	58.02	3481	0.6931	0.7788
0.3268	59.01	3510	0.6914	0.7788