AssertionError: Check batch related parameters. train_batch_size is not equal to micro_batch_per_gpu * gradient_acc_step * world_size 9 != 1 * 3 * 1 To Reproduce Steps to reproduce the behavior: Run the following script on a Ray cluster with 3 nodes, each hosting 1 NVIDIA GPU A100 ...
train_batch_size is not equal to micro_batch_per_gpu * gradient_acc_step * world_size 256 != 4 * 8 * 1 ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 91809) of binary: /home/ubuntu/anaconda3/envs/chat/bin/python when I run ...
在image_classification_timm_peft_lora模型微调任务时,训练这一步报错:KeyError: 'per_gpu_train_batch_size',但是在args中两句代码是这样的:per_device_train_batch_size=batch_size,per_device_eval_batch_size=batch_size并没有问题。 Environment / 环境信息 (Mandatory / 必填) -- MindSpore version : 2.3....
pp-ocr3 gpu 训练正常 paddle-bot bot assigned andyjiang1116 Sep 8, 2023 ErshovVE commented Sep 14, 2023 I encountered a similar problem, try reducing the parameter first_bs paddle-bot bot assigned tink2123 Mar 8, 2024 PaddlePaddle locked and limited conversation to collaborators Jun 7, 20...