修改训练参数

main.py

@@ -28,8 +28,7 @@ train_dataset_generator = GetDatasetGenerator('./datasets', 'train')
 train_dataset = ds.GeneratorDataset(train_dataset_generator, ["data", "label"], shuffle=True)
 train_dataset = train_dataset.batch(4, drop_remainder=True)
 
-# lr_iter = exponential_lr(3e-5, 100, 0.98, 500, staircase=True)
-lr_iter = cosine_lr(3e-5, 20, 500)
+lr_iter = exponential_lr(3e-5, 20, 0.9, 100, staircase=True)
 
 net_loss = SoftmaxCrossEntropyLoss(6, 255)
 net_opt = nn.Adam(net.trainable_params(), learning_rate=lr_iter)
@@ -177,7 +176,7 @@ def net_eval():
 time_cb = TimeMonitor(data_size=60)
 loss_cb = LossMonitor()
 model = Model(net, net_loss, net_opt, metrics={"Accuracy": Accuracy()})
-model.train(10, train_dataset, callbacks=[time_cb, loss_cb, ckpoint], dataset_sink_mode=True)
+model.train(100, train_dataset, callbacks=[time_cb, loss_cb, ckpoint], dataset_sink_mode=True)
 
 net_eval()