def preprocess_logits_for_metrics(logits, labels): if isinstance(logits, tuple): # Depending on the model and config, logits may contain extra tensors, # like past_key_values, but logits always come first logits = logits[0] return logits.argmax(dim=-1) # Initialize our Trainer trainer =...
preprocess_logits_for_metrics为模型评估阶段前对logits的预处理 TrainingArguments为训练参数类,其网址为:huggingface.co/docs/tra,传入参数非常多(transformers版本4.32.1中有98个参数!),我们在这里只介绍几个常见的: output_dir: stroverwrite_output_dir: bool = False evaluation_strategy: typing.Union[transformers...
model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50") inputs = processor(images=image, return_tensors="pt") outputs = model(**inputs) # convert outputs (bounding boxes and class logits) to COCO API # let's only keep detections with score > 0.9 target_sizes =torch....
preprocess_logits_for_metrics=preprocess_logits_for_metrics, eval_dataset=dataset_eval, data_collator=default_data_collator ) trainer.train() trainer.model.save_pretrained(output_dir) del model del trainer peft_config = PeftConfig.from_pretrained(output_dir) model = AutoModelForCausalLM.from_pretrai...
huggingface-cli 隶属于 huggingface_hub 库,不仅可以下载模型、数据,还可以可以登录huggingface、上传模型、数据等huggingface-cli 属于官方工具,其长期支持肯定是最好的。优先推荐!安装依赖 1 pip install -U huggingface_hub 注意:huggingface_hub 依赖于 Python>=3.8,此外需要安装 0.17.0 及以上的版本,推荐0.19.0+...
这些trainer为了吸引更多人使用,肯定要加尽可能多的功能,比如基本的日志、tensorboard、断点重训、训练时...
preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`, *optional*): A function that preprocess the logits right before caching them at each evaluation step. Must take two tensors, the logits and the labels, and return the logits once processed as desired. ...
[fix bug] logits's shape different from label's shape in preprocess_logits_for_metrics by@wiserxinin#31447 Fix RT-DETR cache for generate_anchors by@qubvelin#31671 Fix RT-DETR weights initialization by@qubvelin#31724 pytest_num_workers=4for some CircleCI jobs by@ydshiehin#31764 ...
正如@Enes Altınışık在评论中指出的那样,使用CPU重新运行代码(从而重新启动Kaggle示例)起...
我认为最好先调试train函数,实际上可以通过从数据集采样并整理输出来调试collate函数: