fix links and incorrectly used code blocks

aws · Aug 5, 2022 · 8f3ea81 · 8f3ea81
1 parent 554a20c
commit 8f3ea81
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/...text_classification_20_newsgroups/hpo_huggingface_text_classification_20_newsgroups.ipynb b/...text_classification_20_newsgroups/hpo_huggingface_text_classification_20_newsgroups.ipynb
@@ -14,7 +14,7 @@
     "Text Classification can be used to solve various use-cases like sentiment analysis, spam detection, hashtag prediction etc. \n",
     "\n",
     "\n",
-    "This notebook demonstrates the use of the [HuggingFace `transformers` library](https://huggingface.co/transformers/) together with a custom Amazon sagemaker-sdk extension to fine-tune a pre-trained transformer on multi class text classification. In particular, the pre-trained model will be fine-tuned using the [`20 newsgroups dataset`](http://qwone.com/~jason/20Newsgroups/). To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on."
+    "This notebook demonstrates the use of the [HuggingFace Transformers library](https://huggingface.co/transformers/) together with a custom Amazon sagemaker-sdk extension to fine-tune a pre-trained transformer on multi class text classification. In particular, the pre-trained model will be fine-tuned using the [20 Newsgroups dataset](http://qwone.com/~jason/20Newsgroups/). To get started, we need to set up the environment with a few prerequisite steps, for permissions, configurations, and so on."
    ]
   },
   {
@@ -107,7 +107,7 @@
     "\n",
     "Now we'll download a dataset from the web on which we want to train the text classification model.\n",
     "\n",
-    "In this example, let us train the text classification model on the [`20 newsgroups dataset`](http://qwone.com/~jason/20Newsgroups/). The `20 newsgroups dataset` consists of 20000 messages taken from 20 Usenet newsgroups."
+    "In this example, let us train the text classification model on the [20 Newsgroups dataset](http://qwone.com/~jason/20Newsgroups/). The 20 Newsgroups dataset consists of 20000 messages taken from 20 Usenet newsgroups."
    ]
   },
   {
@@ -1040,7 +1040,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now, let's define the SageMaker `HuggingFace` estimator with resource configurations and hyperparameters to train Text Classification on `20 newsgroups` dataset, running on a `p3.2xlarge` instance."
+    "Now, let's define the SageMaker `HuggingFace` estimator with resource configurations and hyperparameters to train Text Classification on 20 Newsgroups dataset, running on a `p3.2xlarge` instance."
    ]
   },
   {