line 193, in _run_module_as_main "__main__", mod_spec) File "c:\users\user\anaconda3\envs\main\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\User\Anaconda3\envs\Main\Scripts\wandb.exe\__main__.py", line 4, in <module> File ...
wandb.init(dir="<path>",# set the wandb project where this run will be loggedproject="<random string>",name="<random string>",id="<random string>",# track hyperparameters and run metadataconfig=params,anonymous="allow",mode="offline") ...
wandbautafel and with the use of such panels, erected wallRYBERG NILS MARTIN
Eine besonders günstige Ausführung einer solchen Kippmuldenanordnung ist durch die sogenannte Rundmulde gegeben, bei welcher miteinander verschweißte Seitenwandbleche und ein Bodenwandblech ein Muldenvolumen im Querschnitt bogenförmig begrenzen. Das Muldenvolumen ist frontseitig durch eine Vor...
Kind Code: A1 Abstract: The unit has a transparent illuminant with a structured surface and a group of controllable, multi-color diodes (22) having red, green and blue colors. The illuminant is formed in a hollow-cylindrical manner and the diodes are arranged inside the illuminant. The diodes...
It is running when I set use_cuda=False, when I enable it with True it's not working. I installed the NVIDIA CUDA toolkit for Windows and on Anaconda. What am I doing wrong? python simpletransformers editedApr 30, 2023 at 13:17 ...
!pip install -q datasets bitsandbytes einops wandb """## Dataset For our experiment, we will use the Guanaco dataset, which is a clean subset of the OpenAssistant dataset adapted to train general purpose chatbots. The dataset can be found [here](https://huggingface.c...
# Let's use Weights & Biases to track our training metrics. You'll need to apply an API key when prompted. Feel free to skip this if you'd like, and just comment out the `wandb` parameters in the `Trainer` definition below.
本文基于Alpaca提供了一套LLaMA-7B模型在阿里云ECS上进行指令微调的训练方案,最终可以获得性能更贴近具体使用场景的语言模型。 背景信息 LLaMA(Large Language Model Meta AI)是Meta AI在2023年2月发布的开放使用预训练语言模型(Large Language Model, LLM),其参数量包含7B到65B的集合,并仅使用完全公开的数据集进行...
import wandb # 1. Start a W&B run wandb.init(project='gpt3') # 2. Save model inputs and hyperparameters config = wandb.config config.learning_rate = 0.01 # Model training code here ... # 3. Log metrics over time to visualize performance for i in range (10): wandb.log({"loss"...