Removed Sentiment Tuning Examples (#4424)

Author: Harras3

docs/source/_toctree.yml

@@ -53,8 +53,6 @@
     title: Community Tutorials
   - local: lora_without_regret
     title: LoRA Without Regret
-  - local: sentiment_tuning
-    title: Sentiment Tuning
   - local: multi_adapter_rl
     title: Multi Adapter RLHF
   title: Examples

docs/source/example_overview.md

@@ -36,8 +36,6 @@ These notebooks are easier to run and are designed for quick experimentation wit
 Legacy / Older Notebooks
 
 - [`best_of_n.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/best_of_n.ipynb): This notebook demonstrates how to use the "Best of N" sampling strategy using TRL when fine-tuning your model with PPO.
-- [`gpt2-sentiment.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment.ipynb): This notebook demonstrates how to reproduce the GPT2 imdb sentiment tuning example on a jupyter notebook.
-- [`gpt2-sentiment-control.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment-control.ipynb): This notebook demonstrates how to reproduce the GPT2 sentiment control example on a jupyter notebook.
 
 ## Scripts
 

docs/source/sentiment_tuning.md

@@ -13,5 +13,3 @@ This directory contains a collection of Jupyter notebooks that demonstrate how t
 Legacy / Older Notebooks
 
 - [`best_of_n.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/best_of_n.ipynb): This notebook demonstrates how to use the "Best of N" sampling strategy using TRL when fine-tuning your model with PPO.
-- [`gpt2-sentiment.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment.ipynb): This notebook demonstrates how to reproduce the GPT2 imdb sentiment tuning example on a jupyter notebook.
-- [`gpt2-sentiment-control.ipynb`](https://github.com/huggingface/trl/tree/main/examples/notebooks/gpt2-sentiment-control.ipynb): This notebook demonstrates how to reproduce the GPT2 sentiment control example on a jupyter notebook.