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bertFast_02

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bertFast_02 / Copia de ConfBert_tokenizerFast.txt
Alexis Carri贸n
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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(9):
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=2.06]
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=2.64]
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=2.48]
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=0.638]
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=0.184]
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=1.78]
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=0.288]
Epoch 7: 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=0.45]
Epoch 8: 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=0.0356]
Precisi贸n del modelo ajustado: 0.786479250334672