Update README.md

README.md

@@ -4,7 +4,7 @@ datasets: pt-sk/imdb
 tags: ["PPO", "RLHF"]
 ---
 Fine-tuning a GPT-2 model on the IMDB dataset using Proximal Policy Optimization (PPO). The goal is to train the model to generate positive sentiment reviews. The training process utilizes the `trl` library for reinforcement learning, the `transformers` library for model handling, and `datasets` for dataset management.
-Implementation code is available here: [GITHUB](https://github.com/sathishkumar67/GPT-2-IMDB-Sentiment-Fine-Tuning-with-PPO)
+Implementation code is available here: [GitHub](https://github.com/sathishkumar67/GPT-2-IMDB-Sentiment-Fine-Tuning-with-PPO)
 ```python
 # Load model and tokenizer directly
 from transformers import AutoTokenizer, AutoModelForCausalLM