I am using 8xV100s (32GB). The script (run_training.py) works when running on a single machine but I am running into theCUDA out of memorywhen trying to run distributed training. The behavior is consistent whether or notfp16isTrue. I am using the publicly available wikitext data. ...
I'm encountering a CUDA out of memory error when using the compute_metrics function with the Hugging Face Trainer during model evaluation. My GPU is running out of memory while trying to compute the ROUGE scores. Below is a summary of my setup and the error message:...
xxxxxxxxxx export CUDA_VISIBLE_DEVICES=1,0 e. Trainer 集成 Trainer 已经被扩展到支持一些库,这些库可能会极大地改善你的训练时间并适应更大的模型。 目前,它支持第三方解决方案,如 DeepSpeed, PyTorch FSDP, FairScale ,它们实现了论文 《ZeRO: Memory Optimizations Toward Training Trillion Parameter Models》 ...
下面的代码示例展示了常用的一些配置参数,包括如何调整batch大小、设置频繁清空GPU缓存等来避免CUDAOutofMemory,还给了一个测试数据集来监控模型在测试集上的效果。 ''' Common usage of SFTrainer and SFTConfig to finetune a small LM ''' fromtransformersimportAutoModelForCausalLM, AutoTokenizer fromdatasetsimp...
there is a bug in CPOTrainer. when runing CPOTrainer after runing sevreal steps, the usage of gpu memory increases and it raises the out-of-memory exception. we found that the exception is caused by missing the "detach" in line 741 of CP...
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+ PEFT。确保在创建模型时使用device_map=“auto”，transformers trainer会处理剩下的事情。
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而且是一旦我们的dataset 过大，无法放在 RAM 中，那么这样子的做法会导致 Out of Memory 的异常。
OutOfMemoryError: CUDA out of memory. Tried to allocate 62.00 MiB (GPU 0; 11.76 GiB total capacity; 10.77 GiB already allocated; 61.69 MiB free; 10.88 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See doc...