| optim = AdamW(model.parameters(), lr=5e-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(7): | |
| Epoch 0: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=2.38] | |
| Epoch 1: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=1.9] | |
| Epoch 2: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=1.56] | |
| Epoch 3: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=1.44] | |
| Epoch 4: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=1.52] | |
| Epoch 5: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=0.492] | |
| Epoch 6: 100%|鈻堚枅鈻堚枅鈻堚枅鈻堚枅鈻堚枅| 94/94 [01:18<00:00, 1.19it/s, loss=0.195] | |
| Precisi贸n del modelo ajustado: 0.7771084337349398 | |