videomae-base-finetuned-ucf101-subset

La siguiente configuración de hiperparámetros se utilizó durante el entrenamiento:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
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: 3750

Resultados del entrenamiento:

| Pérdida de Entrenamiento | Época | Paso | Pérdida de Validación | Exactitud |
| ------------------------ | ----- | ---- | --------------------- | --------- |
| 2.0046                   | 0.04  | 150  | 2.0806                | 0.3143    |
| 1.9549                   | 1.04  | 300  | 1.4746                | 0.5429    |
| 0.6873                   | 2.04  | 450  | 0.9489                | 0.6714    |
| 1.6042                   | 3.04  | 600  | 0.6865                | 0.7571    |
| 0.2082                   | 4.04  | 750  | 0.4017                | 0.8857    |
| 0.2805                   | 5.04  | 900  | 0.9705                | 0.7714    |
| 0.0062                   | 6.04  | 1050 | 0.4833                | 0.8571    |
| 0.2727                   | 7.04  | 1200 | 0.8048                | 0.8714    |
| 0.1055                   | 8.04  | 1350 | 0.0264                | 0.9857    |
| 0.234                    | 9.04  | 1500 | 0.1460                | 0.9714    |
| 0.0015                   | 10.04 | 1650 | 0.3039                | 0.9429    |
| 0.0012                   | 11.04 | 1800 | 0.2351                | 0.9571    |
| 0.0009                   | 12.04 | 1950 | 0.3080                | 0.9286    |
| 0.0009                   | 13.04 | 2100 | 0.3477                | 0.9429    |
| 0.036                    | 14.04 | 2250 | 0.2366                | 0.9571    |
| 0.0008                   | 15.04 | 2400 | 0.4506                | 0.9       |
| 0.0037                   | 16.04 | 2550 | 0.2327                | 0.9571    |
| 0.0007                   | 17.04 | 2700 | 0.3480                | 0.9286    |
| 0.0007                   | 18.04 | 2850 | 0.1762                | 0.9714    |
| 0.0006                   | 19.04 | 3000 | 0.0991                | 0.9714    |
| 0.0006                   | 20.04 | 3150 | 0.1551                | 0.9714    |
| 0.0006                   | 21.04 | 3300 | 0.3023                | 0.9429    |
| 0.0006                   | 22.04 | 3450 | 0.1543                | 0.9571    |
| 0.0006                   | 23.04 | 3600 | 0.1025                | 0.9571    |
| 0.0006                   | 24.04 | 3750 | 0.0876                | 0.9571    |

Versiones del framework:

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3