diff --git a/.nojekyll b/.nojekyll
index bf692c172..cb91650cb 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
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diff --git a/docs/dataset-formats/index.html b/docs/dataset-formats/index.html
index d85ba524b..ab364f267 100644
--- a/docs/dataset-formats/index.html
+++ b/docs/dataset-formats/index.html
@@ -399,7 +399,7 @@ Description
-
+
|
Pre-training
|
@@ -407,7 +407,7 @@ Description
Data format for a pre-training completion task.
-
+
|
Instruction Tuning
|
@@ -415,7 +415,7 @@ Description
Instruction tuning formats for supervised fine-tuning.
-
+
|
Conversation
|
@@ -423,7 +423,7 @@ Description
Conversation format for supervised fine-tuning.
-
+
|
Stepwise Supervised Format
|
@@ -431,7 +431,7 @@ Description
Format for datasets with stepwise completions and labels
-
+
|
Template-Free
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@@ -439,7 +439,7 @@ Description
Construct prompts without a template.
-
+
|
Custom Pre-Tokenized Dataset
|
diff --git a/docs/faq.html b/docs/faq.html
index f0d93c50f..e1e5c83f7 100644
--- a/docs/faq.html
+++ b/docs/faq.html
@@ -336,6 +336,10 @@ ul.task-list li input[type="checkbox"] {
A: You may be using deepspeed with single gpu. Please don’t set deepspeed: in yaml or cli.
+Q: The codes is stuck on saving preprocessed datasets.
+
+A: This is usually an issue with the GPU. This can be resolved through setting the os environment variable CUDA_VISIBLE_DEVICES=0. If you are on runpod, this is usually a pod issue. Starting a new pod should take care of it.
+
diff --git a/search.json b/search.json
index f94d81c9a..0d1f9dae2 100644
--- a/search.json
+++ b/search.json
@@ -952,7 +952,7 @@
"href": "docs/faq.html",
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- "text": "Q: The trainer stopped and hasn’t progressed in several minutes.\n\nA: Usually an issue with the GPUs communicating with each other. See the NCCL doc\n\nQ: Exitcode -9\n\nA: This usually happens when you run out of system RAM.\n\nQ: Exitcode -7 while using deepspeed\n\nA: Try upgrading deepspeed w: pip install -U deepspeed\n\nQ: AttributeError: ‘DummyOptim’ object has no attribute ‘step’\n\nA: You may be using deepspeed with single gpu. Please don’t set deepspeed: in yaml or cli.",
+ "text": "Q: The trainer stopped and hasn’t progressed in several minutes.\n\nA: Usually an issue with the GPUs communicating with each other. See the NCCL doc\n\nQ: Exitcode -9\n\nA: This usually happens when you run out of system RAM.\n\nQ: Exitcode -7 while using deepspeed\n\nA: Try upgrading deepspeed w: pip install -U deepspeed\n\nQ: AttributeError: ‘DummyOptim’ object has no attribute ‘step’\n\nA: You may be using deepspeed with single gpu. Please don’t set deepspeed: in yaml or cli.\n\nQ: The codes is stuck on saving preprocessed datasets.\n\nA: This is usually an issue with the GPU. This can be resolved through setting the os environment variable CUDA_VISIBLE_DEVICES=0. If you are on runpod, this is usually a pod issue. Starting a new pod should take care of it.",
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index 8d4168309..2d97525f8 100644
--- a/sitemap.xml
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