videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8-fp16

Más información necesaria

Hyperparámetros utilizados durante el entrenamiento:

• learning_rate: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam con betas=(0.9,0.999) y epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 3200
• mixed_precision_training: AMP nativo

Resultados del entrenamiento

 - Pérdida de Entrenamiento
 - Época
 - Paso
 - Pérdida de Validación
 - Precisión

 0.4239  0.06 200  0.3879  0.82

 0.4179 1.06 400 1.1635 0.6162

 0.4329 2.06 600 0.8215 0.63

 0.3051 3.06 800 0.5541 0.7412

 0.172 4.06 1000 0.4696 0.8363

 0.1955 5.06 1200 0.5384 0.78

 0.2301 6.06 1400 1.3358 0.635

 0.2995 7.06 1600 1.0372 0.7087

 0.3789 8.06 1800 0.8670 0.7412

 0.2525 9.06 2000 0.5886 0.8225

 0.1846 10.06 2200 0.7851 0.735

 0.1547 11.06 2400 0.8905 0.7638

 0.2501 12.06 2600 0.9807 0.76

 0.1046 13.06 2800 1.0419 0.7438

 0.0786 14.06 3000 1.0128 0.7538

 0.0178 15.06 3200 1.0156 0.75