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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%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 94/94 [01:58<00:00,  1.26s/it, loss=1.08]
Epoch 1: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 94/94 [02:00<00:00,  1.28s/it, loss=2.86]
Epoch 2: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 94/94 [02:00<00:00,  1.28s/it, loss=0.612]
Epoch 3: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 94/94 [02:00<00:00,  1.28s/it, loss=0.0787]

PrecisiΓ³n del modelo ajustado: 0.8043478260869565