为了防止歧义,不再使用mistral_tokenizer分词,全部采用自定义的minimind_tokenizer作为分词器。 2024-09-01 更新minimind-v1 (108M)模型,采用minimind_tokenizer,预训练轮次3 + SFT轮次10,更充分训练,性能更强。 项目已部署至ModelScope创空间,可以在此网站上体验: ...
Checkpoint file, specified as a character vector. The value for'CheckpointFile'can be set to a filename to save in the current working folder, to a file path in another folder, or to an empty string to disable checkpoint saves (the default value). ...
() # specified or most recent path # 判断是否为文件,若不是文件抛出异常 assert os.path.isfile(ckpt), 'ERROR: --resume checkpoint does not exist' # opt.yaml是训练时的命令行参数文件 with open(Path(ckpt).parent.parent / 'opt.yaml', errors='ignore') as f: # 超参数替换,将训练时的...
正确的YOLO格式yaml文件: 将数据集A放在根目录: 还有一点,yolo v6目前使用单类别数据集训练时,会出现一系列的报错,尽量使用多类别,这个bug官方目前还没修复,虽然他们说支持单类别... 3、--conf-file 用于指定模型配置文件,根据自己的需求进行配置;v6的配置文件中使调参又方便了一些 4.--img-size 训练时图片的...
Train the agents using thetrainfunction. Training can take several hours to complete depending on the available computational power. To save time, load the MAT filecentralizedAgents.matwhich contains a set of pretrained agents. To train the agents yourself, setdoTrainingtotrue. ...
main.py: error: the following arguments are required: --model_name_or_path, --output_dir train.sh: line 5: --do_train: command not found train.sh: line 6: --train_file: command not found train.sh: line 7: --validation_file: command not found ...
If you're not using the completed notebook in the Samples folder, specify the location of thepytorch_train.pyfile. Configure the command line action itself—in this case, the command ispython pytorch_train.py. You can access the inputs and outputs in the command via the${{ ... }}notat...
as_filepath Return file name.as_filepath Return file name. python Copy as_filepath()In this article Constructor Methods English (United States) Your Privacy Choices Theme Manage cookies Previous Versions Blog Contribute Privacy Terms of Use Trademarks © Microsoft 2024...
If you're not using the completed notebook in the Samples folder, specify the location of the pytorch_train.py file. Configure the command line action itself—in this case, the command is python pytorch_train.py. You can access the inputs and outputs in the command via the ${{ ... ...
new_file)img=cv2.cvtColor(images[j],cv2.COLOR_BGR2RGB)cv2.imwrite(img_path,img)print('*** ...