eval_results = trainer.evaluate() print(f"Perplexity: {math.exp(eval_results['eval_loss']):.2f}") 监督微调 这个特定领域的预训练步骤的输出是一个可以识别输入文本的上下文并预测下一个单词/句子的模型。该模型也类似于典型的序列到序列模型。然而,它不是为响应提示而设计的。使用提示文本对执行监督微调...
trainer.data_collator=None#collate_fn ##一定要加 这里一定要注意,trainer默认的data_collator一定要设置为None,这个data_collator是作为collate_fn放到自动转化的dataloader里的(上面代码的train_dataset之类的都是torch的dataset,不需要自己用dataloader封装),会做一些batch处理之类的工作,因为自定义的dataset的输出千差...
如何避免在HuggingfaceTrainer类中恢复训练时迭代Dataloader? 、、 我目前正在使用Huggingface的Trainer类来训练Distillbert,以解决使用自定义损失函数的回归问题。由于计算/意外错误的短暂性质,我正在使用他们的检查点来恢复训练。我面临的问题是,每次我通过Trainer.train()方法中的model_path从检查点恢复训练时,我注意到该...
I'm following this webpage, trying to load a pandas dataframe into a pytorch dataset in order to use the Trainer API:https://huggingface.co/docs/transformers/training#train-with-pytorch-trainer. My script is shown below. modelName='bert-base-uncased' tokenizer = BertTokenizer.from_pretr...
数据集不是pandas数据集,它是pyarrow表,它们有不同的列名,没有loc方法,你需要数据集作为Trainer中的...
别的领域不清楚,但是在nlp领域训练任务,还是HF的Trainer更加好用,没用过Pytorch Lightning,不对pytorch...
trainer.run(train_dataloader, max_epochs=epochs) File "/home/users/user/.local/lib/python3.9/site-packages/ignite/engine/engine.py", line 892, in run return self._internal_run() File "/home/users/user/.local/lib/python3.9/site-packages/ignite/engine/engine.py", line 935, in _internal_...
This happens because of this code in Trainer.get_train_data_loader. If we have an iterable Dataset, we end up creating a DataLoader based on per_device_train_batch_size (which is 32). But if we have any other type of dataset, we create a DataLoader with self....
RCNN模型以及里面的代码实现细节,这一节呢主要来解析一下工程中更外围一点的东西,即train.py和trainer...
trainer.train() Quantization Quanto integration Quanto has been integrated with transformers ! You can apply simple quantization algorithms with few lines of code with tiny changes. Quanto is also compatible withtorch.compile Check outthe announcement blogpostfor more details ...