Update README.md

README.md

@@ -6,7 +6,7 @@ license: mit
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This model is a vanilla fine-tuned version of the [Llama-7B](https://huggingface.co/huggyllama/llama-7b) model on synthetically generated arithmetic tasks. It was introduced in [this](https://openreview.net/forum?id=8sKcAWOf2D) paper. It is very similar to [Goat-7B](https://github.com/liutiedong/goat), except it was trained without LoRA.
+This model is a fully fine-tuned version of the [Llama-7B](https://huggingface.co/huggyllama/llama-7b) model on synthetically generated arithmetic tasks. It was introduced in [this](https://openreview.net/forum?id=8sKcAWOf2D) paper. It is very similar to [Goat-7B](https://github.com/liutiedong/goat), except it was trained without LoRA.
 
 For inquiries about checkpoints during the fine-tuning process, kindly reach out to [Nikhil](mailto:[email protected]) via email.
 
@@ -19,14 +19,14 @@ For inquiries about checkpoints during the fine-tuning process, kindly reach out
 - **Developed by:** [Nikhil Prakash](https://nix07.github.io/)
 - **Model type:** Autoregressive Decoder-only Language Model
 - **License:** MIT License
-- **Finetuned from model [optional]:** [Llama-7B](https://huggingface.co/huggyllama/llama-7b)
+- **Finetuned from model:** [Llama-7B](https://huggingface.co/huggyllama/llama-7b)
 
-### Model Sources [optional]
+### Model Sources
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** TODO
-- **Paper [optional]:** [Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking](https://openreview.net/forum?id=8sKcAWOf2D)
+- **Repository:** [Link](https://github.com/Nix07/finetuning/)
+- **Paper :** [Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking](https://openreview.net/forum?id=8sKcAWOf2D)
 
 ## How to Get Started with the Model
 
@@ -37,7 +37,7 @@ from transformers import AutoModel
 model = AutoModel.from_pretrained("nikhil07prakash/float-7b")
 ```
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->