若需要保证反向更新,Trainer约定,forward方法返回的第一个参数,必须为一个标量的loss,不能是除此之外的复杂形式的张量。此外,Trainer将根据设定的step数量,定期打点损失、学习率的值,并且若开启了tensorboard,将会同时进行tensorboard打点。 通常情况下,这不会导致任何问题,然而当我们训练多任务或多目标的模型时,forward返...
training_args=TrainingArguments(per_device_train_batch_size=1,gradient_accumulation_steps=4,gradient_checkpointing=True,**default_args)trainer=Trainer(model=model,args=training_args,train_dataset=ds)result=trainer.train()print_summary(result) 输出结果: GPU Memory进一步降低 (4169MB --> 3706MB), 吞...
trainer = Trainer( # Function that returns the model to train. It's useful to use a function # instead of directly the model to make sure that we are always training # an untrained model from scratch. model_init=model_init, # The training arguments. args=args, # The training dataset. ...
gradient_checkpointing=True, report_to="none", overwrite_output_dir = 'True', group_by_length=True, ) peft_model.config.use_cache = False peft_trainer = transformers.Trainer( model=peft_model, train_dataset=train_dataset, eval_dataset=eval_dataset, args=peft_training_args, data_collator=tra...
HuggingFace Trainer日志记录训练数据 HuggingFace Trainer是一个用于自然语言处理(NLP)任务的开源库,它提供了一个高级的训练和评估框架。它专注于模型训练过程中的日志记录和可视化,为开发者提供了便捷的方式来监控和分析模型的性能。 HuggingFace Trainer的日志记录功能使开发者能够实时跟踪模型在训练过程中的性能指标,如损...
模型本身是一个常规的Pytorchnn.Module或TensorFlowtf.keras.Model(取决于你的后端),可以常规方式使用。这个教程解释了如何将这样的模型整合到经典的 PyTorch 或 TensorFlow 训练循环中,或是如何使用我们的Trainer训练器)API 来在一个新的数据集上快速微调。
model: model可以是一个集成了 transformers.PreTrainedMode 或者torch.nn.module的模型,官方提到trainer对 transformers.PreTrainedModel进行了优化,建议使用。transformers.PreTrainedModel,用于可以通过自己继承这个父类来实现huggingface的model自定义,自定义的过程和torch非常相似,这部分放到huggingface的自定义里讲。
The model itself is a regularPytorchnn.Moduleor aTensorFlowtf.keras.Model(depending on your backend) which you can use as usual.This tutorialexplains how to integrate such a model into a classic PyTorch or TensorFlow training loop, or how to use ourTrainerAPI to quickly fine-tune on a new...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. - transformers/src/transformers/trainer.py at main · huggingface/transformers
Fix trainer test wrt DeepSpeed + auto_find_bs by @muellerzr in #29061 Add chat support to text generation pipeline by @Rocketknight1 in #28945 [Docs] Spanish translation of task_summary.md by @aaronjimv in #28844 [Awq] Add peft support for AWQ by @younesbelkada in #28987 ...