關於 overwrite_output_dir ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. BART.py · master · kryloval / AbstractiveSummarization - GitLab

... per_device_eval_batch_size=batch_size, weight_decay=0.02, do_train=True, save_steps=1000, save_total_limit=5, overwrite_output_dir=True, ...

#12. Update test.py · 9b821719a8 - train-tmp-effi-b5-op - Towhee

overwrite_output_dir =True,, overwrite_output_dir=True,. epoch_num=2,, epoch_num=2,. per_gpu_train_batch_size=8,, batch_size=8,.

#13. Where do we check the output directory - Quod AI

... to have the following attributes of `args`: - output_dir - do_train - overwrite_output_dir `expected_items`: normally 0 (default) - i.e. empty dir, ...

#14. Machine Translation on low resource languages - Towards ...

overwrite_output_dir = True. Train / Eval split. Arguments. I experimented with multiple model argument and produce the best possible ...

#15. No mask_token ([MASK]) found on the input-技术分享 - 码神部落

KantaiBERT", overwrite_output_dir=True, num_train_epochs=1, per_device_train_batch_size=64, save_steps=10_000, save_total_limit=2, ) trainer = Trainer( ...

#16. 代码补全快餐教程(4) - 训练语言模型 - 阿里云开发者社区

overwrite_output_dir : 输出目录不为空时覆盖之，节省存储空间. 验证效果. 我们做个补全效果测试吧，还是我们之前的代码，我们先用gpt2试试效果：

#17. How to fine-tune GPT-2 for beginners | Kaggle

... mlm=mlm, ) return data_collator def train(train_file_path,model_name, output_dir, overwrite_output_dir, per_device_train_batch_size, num_train_epochs, ...

#18. T5 on TPU - Google Colaboratory (Colab)

models/tpu', overwrite_output_dir=True, do_train=True, do_eval=False, do_predict=False, evaluate_during_training=False, per_gpu_train_batch_size=8, ...

#19. How to fine-tune GPT-2? - Q&A (EN) - AI Network Community ...

... mlm=mlm, ) return data_collator def train(train_file_path,model_name, output_dir, overwrite_output_dir, per_device_train_batch_size, ...

#20. 【精品】NLP小白也会使用的BERT文本分类指南

... 用于training和evaluation的参数dict，形如args={'reprocess_input_data': True, 'overwrite_output_dir': True}) cuda_device(可选) : 默认为-1.

#21. simpletransformers 0.23.3 - PyPI

... overwrite_output_dir: bool; reprocess_input_data: bool ... 'overwrite_output_dir': True}) # Train the model with JSON file ...

#22. 基于脱敏数据，使用huggingface的Transformers预训练模型

... overwrite_output_dir=True, num_train_epochs=num_train_epochs, learning_rate=6e-5, per_device_train_batch_size=pretrain_batch_size, save_total_limit=10, ...

#23. Training — Mistral 0.1.0 documentation - Stanford NLP Group

... TrainingArguments(output_dir=mistral-hello-world/runs/gpt2-small-d=wikitext-n=1-g=1-w=1+2021-06-25-23:57:32, overwrite_output_dir=False, do_train=True, ...

#24. 使用简单变形金刚的文本分类_weixin_26752765的博客

我们可以为分类模型配置几个参数，可以在这里找到。 在这里，我们仅使用三个参数： num_train_epochs ， overwrite_output_dir 和 manual_seed 。 其他 ...

#25. Bert - HongkuanZhang/Technique-Notes Wiki

Use --overwrite_output_dir to overcome." ) # 设置logging的级别(Warning或者Information级别以上把信息输出在命令行里) logging.basicConfig( format="%(asctime)s ...

#26. Python ptvsd.wait_for_attach方法代碼示例- 純淨天空

Use --overwrite_output_dir to overcome.".format( self.output_dir)) # Setup distant debugging if needed if self.server_ip and self.server_port: # Distant ...

#27. RoBERTa，XLNet，XLM和DistilBERT文本分类- 润新知

num_labels=4, args={'learning_rate':1e-5, 'num_train_epochs': 2, 'reprocess_input_data': True, 'overwrite_output_dir': True}). 开始训练：.

#28. CLUE baseline pytorch CLUE的pytorch版本基线- wenyanet

... --logging_steps=759 \ --save_steps=759 \ --output_dir=$OUTPUR_DIR/${TASK_NAME}_output/ \ --overwrite_output_dir \ --seed=42.

#29. huggingface transformers使用指南之二——方便的trainer

output_dir ( str ) – 我们的模型训练过程中可能产生的文件存放的路径，包括了模型文件，checkpoint，log文件等；; overwrite_output_dir ( bool ...

#30. Pretrain Transformers Models in PyTorch Using Hugging Face ...

overwrite_output_dir : Overwrite the content of the output directory. I set it to True in case I run the notebook multiple times I only care ...

#31. NLP - Hillary Clinton and Donald Trump Tweets - Deepnote

... outputs/ overwrite_output_dir -> True process_count -> 1 reprocess_input_data -> True save_best_model -> True save_eval_checkpoints ...

#32. 【自然语言处理】【Pytorch】从头实现SimCSE - 文章整合

... load_best_model_at_end=True, overwrite_output_dir=True, do_train=True, do_eval=False, logging_steps=10) data_args = DataArguments() ...

#33. Simple Transformers文档翻译（提示和技巧）_语译分西的博客

设置模型参数小提示：根据经验，当运行sweep进行超参数值搜索时，最好将 reprocess_input_data , overwrite_output_dir , and no_save 设置为 True

#34. /examples/text-classification/run_tf_glue.py - transformers

Use --overwrite_output_dir to overcome." ) # Setup logging; logging.basicConfig(; format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", ...

#35. Huggingface Transformers 入門 (19) - Seq2Seqの学習 ... - note

... --overwrite_output_dir \ --predict_with_generate. この例では、「t5-small」で学習するので、「CNN/DailyMail」データセットを使用しました。

#36. Save and Load Simple Transformer Model - Data Science ...

... 'n_gpu':4, 'reprocess_input_data': True, 'overwrite_output_dir':True, 'overwrite_output_dir': True}) model.train_model(train_df).

#37. Using apex leeads to a CUDA out of memory on an A100

save/py150', overwrite_cache=False, overwrite_output_dir=True, per_gpu_eval_batch_size=4, per_gpu_train_batch_size=2, ...

#38. GPT2 resume training from saved checkpoint - InfoFlowing

!python3 run_clm.py \ --train_file source.txt \ --do_train \ --output_dir gpt-finetuned \ --overwrite_output_dir \ --per_device_train_batch_size 2 ...

#39. 基于自身数据增量的训练前语言模型,用,自己,预

from transformers import Trainer, TrainingArguments training_args = TrainingArguments( output_dir=out_model_path, overwrite_output_dir=True, ...

#40. Machine Translation on low resource languages - Pasa En Tu ...

Arguments: num_train_epochs = 30; batch_size = 32; max_length = 120; src_lang =”fr”; tgt_lang =”fon”; overwrite_output_dir = True ...

#41. 6-3 파이널프로젝트 KoGPT2와 짧은 텍스트/문장 유사도 (1)

def train(train_file_path,model_name,. output_dir,. overwrite_output_dir,. per_device_train_batch_size,. num_train_epochs,. save_steps):.

#42. If you are running out of CUDA memory, you need to make the ...

If you are running out of CUDA memory, you need to make the batch sizes smaller. E.g.: train_args = { "overwrite_output_dir": True,

#43. huggingface transformers使用指南之二——方便的trainer

TrainingArguments (output_dir: str,overwrite_output_dir: bool = False ... overwrite_output_dir ( bool , optional, defaults to False ) – 設置 ...

#44. Building a QA System with BERT on Wikipedia - NLP for ...

... for model checkpoints and predictions # '--overwrite_output_dir', ... models/bert/ \ --data_dir data/squad \ --overwrite_output_dir ...

#45. 基於手動離散Prompt的MLM文字分類

... overwrite_output_dir=True, evaluation_strategy = "epoch", ... 指的是模型儲存的路徑； overwrite_output_dir 意思是如果儲存的路徑已經有模型 ...

#46. 代码补全快餐教程(4) - 训练语言模型 - 简书

overwrite_output_dir : 输出目录不为空时覆盖之，节省存储空间. 验证效果. 我们做个补全效果测试吧，还是我们之前的代码，我们先用gpt2试试效果：.

#47. Error in running bert model on kaggle with gpu - DataHack

Try to set fp16 to false and see if it is working ... for example: model.train_model(train_df,args={'fp16': False,'num_train_epochs':3,'overwrite_output_dir': ...

#48. Fine-tuning a MLM (Masked Language Model) like BERT ...

... for model outputs output_dir = path_to_outputs/'output_dir' overwrite_output_dir = True # False # logs logging_dir = path_to_outputs/'logging_dir' ...

#49. parse_args_into_dataclasses - Code Search

... and os.listdir(training_args.output_dir); and training_args.do_train; and not training_args.overwrite_output_dir; ):. Python.

#50. Pytorch 中文语言模型（Bert/Roberta）进一步预训练（further ...

overwrite_output_dir :是否覆盖 output_dir 下已有的文件。若不设置为True，输出路径下有文件时，代码会停止运行，给人提示。自己依情况选择 ...

#51. chineseGLUE baseline pytorch chineseGLUE的pytorch版本基线

... --logging_steps=759 \ --save_steps=759 \ --output_dir=$OUTPUR_DIR/${TASK_NAME}_output/ \ --overwrite_output_dir \ --seed=42.

#52. Comet ❤️ Hugging Face - Comet

overwrite_output_dir =True,. num_train_epochs=EPOCHS,. per_device_train_batch_size=batch_size,. per_device_eval_batch_size=batch_size,.

#53. Fine-tune a non-English GPT-2 Model with Huggingface

7 overwrite_output_dir=True, #overwrite the content of the output directory. 8 num_train_epochs=3, # number of training epochs.

#54. 训练BERT，我只花了一半的时间 - 韦阳的博客

... 32 \ --num_train_epochs 3 \ --output_dir /tmp/mrpc/ \ --overwrite_output_dir \ --fp16. Shell. 我这里是单卡训练的，训练完后输出如下：.

#55. Dean/BioBERT-DAGsHub

+ --overwrite_output_dir. +```. +. +## Evaluation Results. +. +### BioBERT. +. +| | Test Precision (%) | Test Recall (%) | Test F1 (%) |.

#56. 低资源语言的机器翻译 - 腾讯云

num_train_epochs = 30; batch_size = 32; max_length = 120; src_lang =”fr”; tgt_lang =”fon”; overwrite_output_dir = True. 训练/评估分离

#57. ThilinaRajapakse/simpletransformers - [REPO]@Telematika

... 'bert-base-cased', num_labels=3, args={'reprocess_input_data': True, 'overwrite_output_dir': True}) # You can set class weights by using ...

#58. Fine-Tuning a Danish BERT | Kenneth Enevoldsen

... 'Maltehb/danish-bert-botxo', labels=unique_labels, use_cuda=False, args={'overwrite_output_dir': True, 'reprocess_input_data': True})

#59. 【AI实战】最强NLP预训练模型库PyTorch-Transformers正式 ...

... --max_steps=1200 \ --model_name=xlnet-large-cased \ --overwrite_output_dir \ --overwrite_cache \ --warmup_steps=120.

#60. 在模型训练期间Python“不能pickle local object”异常- 问答

... 'bert-base-multilingual-uncased', use_cuda=False, num_labels=8, args={'reprocess_input_data': True, 'overwrite_output_dir': True, ...

#61. Transfer Learning for Natural Language Processing

... as follows: from transformers import TrainingArguments training_args = TrainingArguments( output_dir="twidistilmbert", overwrite_output_dir=True, ...

#62. Mastering Transformers: Build state-of-the-art models from ...

... True model_args.reprocess_input_data = True model_args.overwrite_output_dir = True model_args.preprocess_inputs = False model_args.num_return_sequences ...

#63. Transformers for Natural Language Processing: Build, train, ...

KantaiBERT", overwrite_output_dir=True, num_train_epochs=1, per_device_train_batch_size=64, save_steps=10_000, https://www.packt.link/Transformers Chapter 4 ...

#64. 变形金刚图纸_使用简单变形金刚的文本分类-爱代码爱编程

Here we are using only three parameters: num_train_epochs , overwrite_output_dir & manual_seed . Some of the other important and most commonly used ...

#65. Pytorch环境下微调BERT以及调参教程-程序控制台

results', #存储结果文件的目录 overwrite_output_dir=True, num_train_epochs=5, per_device_train_batch_size=32, per_device_eval_batch_size=32, ...

#66. Token-Aware Virtual Adversarial Training Implementation

... --output_dir outputs/rte_tavat --overwrite_output_dir --max_seq_length 512 --save_steps 50 --logging_steps 50 --evaluate_during_training ...

#67. jeffery0628/finetune_transformers - Giters

... mlm=True, mlm_probability=0.15) training_args = TrainingArguments( logging_steps=500, overwrite_output_dir=True, weight_decay=0.01, adam_epsilon=1e-6, ...

#68. ThilinaRajapakse Profile - githubmemory

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks.

#69. Master-Thesis-Multilingual-Longformer - githubhelp.com

... 2 \ --per_device_train_batch_size 1 \ --gradient_accumulation_steps 64 \ --overwrite_output_dir \ --fp16 \ --do_train \ --do_eval ".

#70. unable to mmap 1024 bytes - Cannot allocate memory

model_args.overwrite_output_dir = True. 21. model_args.save_model_every_epoch = False. 22. model_args.save_eval_checkpoints = False.

#71. GPT2 resume training from saved checkpoint - Stackify

!python3 run_clm.py \ --train_file source.txt \ --do_train \ --output_dir gpt-finetuned \ --overwrite_output_dir \ --per_device_train_batch_size 2 ...

#72. Further pre training of Chinese language model (Bert/Roberta)

If there is no blank line between two pieces of data, be sure to set it to True; overwrite_output_dir: override output_ The existing file ...

#73. examples / seq2seq / test_bash_script.py ::实际学习一些东西

... --task translation --num_sanity_val_steps=0 --output_dir dmar_utest_1gpu --num_train_epochs=1 \ --overwrite_output_dir ...

#74. Frustratingly Simple Pretraining Alternatives to Masked ...

... --logging_steps=100 \ --output_dir=/path/to/save/weights/ \ --overwrite_output_dir \ --logging_dir=/path/to/save/log/files/ ...

#75. Error running run_seq2seq.py Transformers training script

... --per_device_eval_batch_size=4 \ --overwrite_output_dir \ --predict_with_generate \ --max_train_samples 500 \ --max_val_samples 500. and got this error