load_metric 函数是 datasets 库中用于加载评估指标的功能。根据最新的 datasets 库文档和社区反馈,load_metric 函数在多个版本中都是存在的。然而,如果因为某些原因(如版本更新后该函数被重命名或移除),它可能不再可用。 您可以通过查阅 datasets 库的官方文档 来确认该函数是否仍然可用。 3. 检查代码中是否有拼写...
doradsoft changed the title Cannot import evaluate due to "RuntimeError: Failed to import transformers.integrations.peft" Cannot import evaluate due to "RuntimeError: Failed to import transformers.integrations.peft" Nov 5, 2023 doradsoft changed the title Cannot import evaluate due to "RuntimeErr...
from datasets import load_dataset from transformers import Trainer, TrainingArguments, AutoTokenizer, AutoModelForSequenceClassification # import ray import ray from ray import train from ray.train import ScalingConfig, RunConfig, CheckpointConfig, Checkpoint, FailureConfig from ray.train.torch import Torch...
from .coco_metric import CocoMetric File "/home/ma-user/anaconda3/envs/pytorch1.8.1/lib/python3.7/site-packages/mmdet/evaluation/metrics/coco_metric.py", line 16, in from mmdet.datasets.api_wrappers import COCO, COCOeval File "/home/ma-user/anaconda3/envs/pytorch1.8.1/lib/python3.7/site...
I got this error when finetuning "EleutherAI/gpt-j-6B" using load_in_8bit and LoRA on 8×2080ti: RuntimeError: mat1 and mat2 shapes cannot be multiplied I'm using data parallelism and not using model parallelism. The code runs normally wh...
('loss_scale', 'dynamic') # resume training if args.resume == 'auto': cfg.resume = True cfg.load_from = None elif args.resume is not None: cfg.resume = True cfg.load_from = args.resume # enable auto scale learning rate if args.auto_scale_lr: cfg.auto_scale_lr.enable = True ...
Description I followed the LightGBM GPU Tutorial to install the LightGBM GPU version on my service. Everything was fine until I tested it with a simple Python script: I got the error : [LightGBM] [Fatal] Cannot build GPU program: Build P...
load_best_model_at_end = True, push_to_hub=False, #metric_for_best_model="bleu", #eval_accumulation_steps=1, eval_steps=number_of_steps ) def train(self, bool_local, dataset_path=PATH_FILE_CSV_DATASETS): print("Lets the training begin!") # 1 - Load BERT AS TOKENIZER # Loading ...