纪元3: 23%| 3/13 01:43<05:46,34.62s/it,loss=2.27,v_num=7,██▎ training_epoch_end: 3输出= {'loss':张量(0.6632)},{'loss':张量(0.9215)},{'loss':张量(1.1396)} 纪元3: 31%| 01:49<04:06 | 4/13,27.41s/it,loss=2.27,v_num=7,███ 正在验证: 0it 00:00,?it/s 有人...
training_epoch_end will be used for the user to aggregate the outputs from training_step at the end of an epoch. Example. def training_step(self, batch, batch_idx): output = self.layer(batch) loss = self.loss(batch, output) return {"loss": loss} def training_step_end(self, training...
Bug description I don;t have a return statement in my training method but i still get the misconfiguration error for not returning none from training_epoch_end. the code breaks aftet he epoch zero. I'm trying to use lightening to train a...
In a similar fashion, we just hijacked the original callback and enforced the callback to replace the weights from the "best" epoch in the end of the training process. from tensorflow.keras.callbacks import EarlyStopping class ReturnBestEarlyStopping(EarlyStopping): def __init__(self, **kwarg...