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fix LM tutorial bug #27

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fix LM tutorial bug #27

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8 changes: 4 additions & 4 deletions docs/篇章4-使用Transformers解决NLP任务/4.5-生成任务-语言模型.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -721,8 +721,8 @@
"trainer = Trainer(\n",
" model=model,\n",
" args=training_args,\n",
" train_dataset=lm_datasets[\"train\"][:1000],\n",
" eval_dataset=lm_datasets[\"validation\"][:1000],\n",
" train_dataset=lm_datasets[\"train\"][:1000],#建议在本地运行时将[:1000]删除\n",
" eval_dataset=lm_datasets[\"validation\"][:1000],#建议在本地运行时将[:1000]删除\n",
")"
]
},
Expand All @@ -732,7 +732,7 @@
"id": "UDn2o1gSWdCF"
},
"source": [
"然后就可以训练我们的模型🌶:"
"然后就可以训练我们的模型🌶（建议在本地运行，而非jupyter笔记本）:"
]
},
{
Expand Down Expand Up @@ -1238,4 +1238,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
6 changes: 3 additions & 3 deletions docs/篇章4-使用Transformers解决NLP任务/4.5-生成任务-语言模型.md
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Original file line number Diff line number Diff line change
Expand Up @@ -334,12 +334,12 @@ training_args = TrainingArguments(
trainer = Trainer(
model=model,
args=training_args,
train_dataset=lm_datasets["train"][:1000],
eval_dataset=lm_datasets["validation"][:1000],
train_dataset=lm_datasets["train"][:1000],#建议在本地运行时将[:1000]删除
eval_dataset=lm_datasets["validation"][:1000],#建议在本地运行时将[:1000]删除
)
```

然后就可以训练我们的模型🌶:
然后就可以训练我们的模型🌶（建议在本地运行，而非jupyter笔记本）:


```python
Expand Down