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数据训练模型通过

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LYFxiaoan 2025-07-15 11:55:39 +08:00
parent 6c11aff234
commit 066a0429e5
2 changed files with 2 additions and 2 deletions
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2
server/trainers/mlstm_trainer.py
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@ -340,7 +340,7 @@ def train_product_model_with_mlstm(
criterion = nn.MSELoss() criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters(), lr=learning_rate) optimizer = optim.Adam(model.parameters(), lr=learning_rate)
scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', patience=patience // 2, factor=0.5, verbose=True) scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', patience=patience // 2, factor=0.5)
emit_progress("数据预处理完成，开始模型训练...", progress=10) emit_progress("数据预处理完成，开始模型训练...", progress=10)

2
server/trainers/transformer_trainer.py
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@ -279,7 +279,7 @@ def train_product_model_with_transformer(
criterion = nn.MSELoss() criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters(), lr=learning_rate) optimizer = optim.Adam(model.parameters(), lr=learning_rate)
scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', patience=patience // 2, factor=0.5, verbose=True) scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', patience=patience // 2, factor=0.5)
# 训练模型 # 训练模型
train_losses = [] train_losses = []