| optim = AdamW(model.parameters(), lr=3e-5) #tasa de aprendizaje | |
| # Se inicializa el cargador de datos para los datos de entrenamiento | |
| train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True) | |
| for epoch in range(4): | |
| Epoch 0: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:58<00:00, 1.26s/it, loss=1.08] | |
| Epoch 1: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [02:00<00:00, 1.28s/it, loss=2.86] | |
| Epoch 2: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [02:00<00:00, 1.28s/it, loss=0.612] | |
| Epoch 3: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [02:00<00:00, 1.28s/it, loss=0.0787] | |
| Precisi贸n del modelo ajustado: 0.8043478260869565 | |