lm_eval --model hf --model_args pretrained=microsoft/phi-2,trust_remote_code=True --tasks hellaswag,mmlu_abstract_algebra --device cuda:0 --batch_size 8 --output_path output/phi-2 --limit 10 --wandb_args project=lm-eval-harness-integration --log_samples 在stdout中,您将找到指向W&B运...
在测评过程中,我们首先使用lm evaluation harness对C-Eval模型进行了基准测试。通过对比C-Eval与其他主流大语言模型在各项评估指标上的表现,我们发现C-Eval在文本生成和语言理解方面具有一定的优势。特别是在处理长文本和复杂语境时,C-Eval表现出了较强的泛化能力和鲁棒性。 接下来,我们使用vllm对C-Eval模型进行了更...
andmmmutask as a prototype feature. We welcome users to try out this in-progress feature and stress-test it for themselves, and suggest they check outlmms-eval, a wonderful project originally forking off of the lm-evaluation-harness, for a broader range of multimodal tasks, models, and ...
eval_logger.warning( f"[{self.task}] passed `generation_kwargs`, but not using `output_type: generate_until`!" )if "temperature" in self.generation_kwargs: self.generation_kwargs["temperature"] = float( self.generation_kwargs["temperature"] ...
# instantiate an LM subclass that takes your initialized model and can run # - `Your_LM.loglikelihood()` # - `Your_LM.loglikelihood_rolling()` # - `Your_LM.generate_until()` lm_obj = Your_LM(model=my_model, batch_size=16) # indexes all tasks from the `lm_eval/tasks` ...
# for dataset_id in greedy_until_tasks: for dataset_id in ['math_algebra','mgsm_en','mgsm_fr']: try: print(f'Eval: dataset_id={dataset_id} model_id={model_id}') main_1(dataset_id, model_id) except Exception as ex: print(f'Exception: {ex}') import traceback ...
rate PCB connected by a wiring harness. When an output capacitor is used and the LED array is large or separated from the rest of the regulator, the output capacitor should be placed close to the LEDs to reduce the effects of parasitic inductance ...
arate PCB connected by a wiring harness. When an output capacitor is used and the LED array is large or separated from the rest of the converter, the output capacitor should be placed close to the LEDs to reduce the effects of parasitic inductance on the AC impedance of the capacitor...
as for many of my research colleagues. Ever since programming AI for computer games as a teenager, and throughout my years as a neuroscience researcher trying to understand the workings of the brain, I’ve always believed that if we could build smarter machines, we could harness them to bene...
lm-evaluation-harness的安装和使用方法 1、安装 从GitHub仓库安装lm-eval包,请运行: git clone https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e . 我们还提供了许多可选依赖项以扩展功能。在本文件末尾有一个详细的表格。