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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=16, shuffle=True) for epoch in range(7): Epoch 0: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=2.38] Epoch 1: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=1.9] Epoch 2: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=1.56] Epoch 3: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=1.44] Epoch 4: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=1.52] Epoch 5: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=0.492] Epoch 6: 100%|██████████| 94/94 [01:18<00:00, 1.19it/s, loss=0.195] Precisión del modelo ajustado: 0.7771084337349398 |