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Fix notebook link #378

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Nov 22, 2022
Merged

Fix notebook link #378

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4 changes: 2 additions & 2 deletions chapters/en/chapter8/4.mdx
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<CourseFloatingBanner chapter={8}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter8/section4_pt.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter8/section4_pt.ipynb"},
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter8/section4.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter8/section4.ipynb"},
]} />

You've written a beautiful script to train or fine-tune a model on a given task, dutifully following the advice from [Chapter 7](/course/chapter7). But when you launch the command `trainer.train()`, something horrible happens: you get an error 😱! Or worse, everything seems to be fine and the training runs without error, but the resulting model is crappy. In this section, we will show you what you can do to debug these kinds of issues.
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4 changes: 2 additions & 2 deletions chapters/fr/chapter8/4.mdx
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<CourseFloatingBanner chapter={8}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/fr/chapter8/section4_pt.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/fr/chapter8/section4_pt.ipynb"},
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/fr/chapter8/section4.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/fr/chapter8/section4.ipynb"},
]} />

Vous avez écrit un magnifique script pour entraîner ou *finetuner* un modèle sur une tâche donnée en suivant consciencieusement les conseils du [chapitre 7](/course/fr/chapter7). Mais lorsque vous lancez la commande `model.fit()`, quelque chose d'horrible se produit : vous obtenez une erreur 😱 ! Ou pire, tout semble aller bien et l'entraînement se déroule sans erreur mais le modèle résultant est mauvais. Dans cette section, nous allons vous montrer ce que vous pouvez faire pour déboguer ce genre de problèmes.
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4 changes: 2 additions & 2 deletions chapters/it/chapter8/4.mdx
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<CourseFloatingBanner chapter={8}
classNames="absolute z-10 right-0 top-0"
notebooks={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/it/chapter8/section4_pt.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/it/chapter8/section4_pt.ipynb"},
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/it/chapter8/section4.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/it/chapter8/section4.ipynb"},
]} />

Hai scritto un bello script per addestrare o affinare un modello su un determinato compito, seguendo scrupolosamente i consigli del [Capitolo 7](/course/chapter7). Ma quando lanci il comando `trainer.train()`, succede qualcosa di orribile: si ottiene un errore 😱! O peggio, tutto sembra andare bene e il training viene eseguito senza errori, ma il modello che ne risulta fa schifo. In questa sezione mostreremo cosa è possibile fare per eseguire il debug di questo tipo di problemi.
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4 changes: 2 additions & 2 deletions chapters/vi/chapter8/4.mdx
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<DocNotebookDropdown
classNames="absolute z-10 right-0 top-0"
options={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/vi/chapter8/section4_pt.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/vi/chapter8/section4_pt.ipynb"},
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/vi/chapter8/section4.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/vi/chapter8/section4.ipynb"},
]} />

Bạn đã viết một kịch bản tuyệt đẹp để huấn luyện hoặc tinh chỉnh một mô hình trong một tác vụ nhất định, tuân thủ một cách nghiêm túc lời khuyên từ [Chương 7](/course/chapter7). Nhưng khi bạn khởi chạy lệnh `trainr.train()`, một điều kinh khủng xảy ra: bạn gặp lỗi 😱! Hoặc tệ hơn, mọi thứ dường như ổn và quá trình huấn luyện chạy mà không có lỗi, nhưng mô hình kết quả là tồi tệ. Trong phần này, chúng tôi sẽ chỉ cho bạn những gì bạn có thể làm để gỡ lỗi các loại vấn đề này.
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4 changes: 2 additions & 2 deletions chapters/zh-CN/chapter8/4.mdx
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<DocNotebookDropdown
classNames="absolute z-10 right-0 top-0"
options={[
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter8/section4_pt.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter8/section4_pt.ipynb"},
{label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter8/section4.ipynb"},
{label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter8/section4.ipynb"},
]} />

你已经编写了一个漂亮的脚本来训练或微调给定任务的模型，尽职尽责地遵循 [Chapter 7](/course/chapter7) 中的建议。 但是当你启动命令 `trainer.train()` 时，可怕的事情发生了：你得到一个错误😱！ 或者更糟糕的是，一切似乎都很好，训练运行没有错误，但生成的模型很糟糕。 在本节中，我们将向您展示如何调试此类问题。
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