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....
However, when I setper_device_train_batch_size=2, and run the command as follows: CUDA_VISIBLE_DEVICES=1 torchrun --nproc_per_node=1 --master_port=29501 supervised-fine-tune.py \ --model_name_or_path /mnt/42_store/lhj/data/mllm/model_weights/Llama-2-7b-chat-hf \ --bf16 True ...
def collate_fn(batch, tokenizer, block_size, device): out_batch = tokenizer( list(batch["input"]), padding="longest", max_length=block_size, truncation=True, return_tensors="pt" ) out_batch["labels"] = out_batch["input_ids"].clone() out_batch = tree.map_structure(lambda x: x.t...
per_device_eval_batch_size La dimensione del batch per GPU core o CPU per la valutazione. Deve essere un numero intero positivo. max_train_samples Per scopi di debug o per una formazione più rapida, riduci il numero di esempi di formazione a questo valore. Il valore -1 indica ...
[translate] aI'm an English girl . you'er bad,i think 我是英国 女孩。 you'er坏,我认为 [translate] abatch definition (for instance, per coach, trainset, fixed quantity, etc.) 批定义(例如,每教练、trainset、固定的数量等等) [translate] ...
在pytorch内部,conf.device_ids依旧是从0开始的; 训练的时候报错: 是由于batchnorm层需要大于一个样本去计算其中的参数,网上搜索了解决方法是将dataloader的一个丢弃参数设置为true: 但是我设置后依旧会报错,然后就在train里面人为修改了一下: 如果剩下的照片为1,那么就丢掉,就可以了:...
在pytorch内部,conf.device_ids依旧是从0开始的; 训练的时候报错: 是由于batchnorm层需要大于一个样本去计算其中的参数,网上搜索了解决方法是将dataloader的一个丢弃参数设置为true: 但是我设置后依旧会报错,然后就在train里面人为修改了一下: 如果剩下的照片为1,那么就丢掉,就可以了:...
Le dimensioni del batch (due) e il numero massimo di iterazioni di training (10.000) è anche degli iperparametri. Corsi di formazione viene eseguito come segue: XML Copia for i in range(0, max_epochs): rows = np.random.choice(N, bat_size, replace=False) trainer....
Communication by rare, binary spikes is a key factor for the energy efficiency of biological brains. However, it is harder to train biologically-inspired spiking neural networks than artificial neural networks. This is puzzling given that theoretical res
torchrun --nproc_per_node=8 --master_port=20001 fastchat/train/train.py \ --model_name_or_path ./llama-7b \ --data_path ./original_dummy_conversation.json \ --bf16 False \ --output_dir output \ --num_train_epochs 3 \ --per_device_train_batch_size 2 \ --per_device_eval_bat...