command("train-sft", help="使用准备好的数据集对模型进行微调。") 51 - @clear_argv 77 + @apply_common_decorators() 52 78 def train_sft(): 53 79 """使用准备好的数据集对模型进行微调。""" 54 80 from weclone.train.train_sft import main as train_sft_main @@ -57,7 +83,7 @@ ...
深度学习模型的训练/推理过程涉及很多步骤。在有限的时间和资源条件下，每个迭代的速度越快，整个模型的...
I've run into a strange problem involving both tf.train.Saver and an input pipeline based on tf.train.string_input_producer(). It seems as though the num_epochs parameter to tf.train.string_input_producer() stops working as intended after loading a saved model. I'm currently using v0.8 ...
2、dataloader函数中增加num_workers参数,该参数表示加载数据的线程数,建议设置为该系统中的CPU核心数,若CPU很强劲,而且内存很大,也可以考虑将该数值设置的更大一些。 train_loader=torch.utils.data.DataLoader(dataset=train_dataset,batch_size=batch_size,shuffle=True) 1. 修改为: train_loader=torch.utils.data...
train_batch_size="1" --max_train_steps="14100" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --caption_extension=".txt" --cache_latents --optimizer_type="AdamW8bit" --max_data_loader_n_workers="1" --clip_skip=2 --bucket_reso_...
I'm using a tf.train.string_input_producer to read in data from a file. when I set num_epochs=1 instead of None it breaks and I get the following error. My code is below as well. Any suggestions for why this is occuring? I tensorflow/cor...