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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=8, shuffle=True) for epoch in range(3): Epoch 0: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=1.8] Epoch 1: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.476] Epoch 2: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.133] Epoch 3: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.0961] Epoch 4: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.115] Epoch 5: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.131] Epoch 6: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.111] Epoch 7: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.0191] Epoch 8: 100%|██████████| 94/94 [00:58<00:00, 1.61it/s, loss=0.00245]] Precisión del modelo ajustado: |