Update README.md

README.md

@@ -94,12 +94,12 @@ Use the code below to get started with the model.
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
 ### Load the model and tokenizer
-**model** = AutoModelForSequenceClassification.from_pretrained("bagwai/fine-tuned-gemma-7b-hausa")
-**tokenizer** = AutoTokenizer.from_pretrained("bagwai/fine-tuned-gemma-7b-hausa")
+- **model** = AutoModelForSequenceClassification.from_pretrained("bagwai/fine-tuned-gemma-7b-hausa")
+- **tokenizer** = AutoTokenizer.from_pretrained("bagwai/fine-tuned-gemma-7b-hausa")
 
 ### Example usage
-**inputs** = tokenizer("Ina son wannan littafin", return_tensors="pt")
-**outputs** = model(**inputs)
+- **inputs** = tokenizer("Ina son wannan littafin", return_tensors="pt")
+- **outputs** = model(**inputs)
 
 
 ## Training Details
@@ -120,11 +120,11 @@ Preprocessing: Hausa stopwords were removed using a custom stopword list (hau_st
 #### Training Hyperparameters
 
 - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-**Epochs:** 5
-**Learning Rate:** 2e-4
-**Batch Size:** 8
-**Optimizer:** AdamW
-**LoRA Rank:** 64
+- **Epochs:** 5
+- **Learning Rate:** 2e-4
+- **Batch Size:** 8
+- **Optimizer:** AdamW
+- **LoRA Rank:** 64
 
 ## Evaluation
 
@@ -160,13 +160,13 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 ### Model Architecture and Objective
 
-**Model Type:** Gemma 7B (LLM)
-**Objective:** Fine-tuned for sentiment analysis in the Hausa language.
+- **Model Type:** Gemma 7B (LLM)
+- **Objective:** Fine-tuned for sentiment analysis in the Hausa language.
 
 ### Compute Infrastructure
 
-**Hardware:** Kaggle NVIDIA P100 GPUs
-**Software:** PyTorch, Hugging Face Transformers, LoRA (Low-Rank Adaptation)
+- **Hardware:** Kaggle NVIDIA P100 GPUs
+- **Software:** PyTorch, Hugging Face Transformers, LoRA (Low-Rank Adaptation)
 
 
 ## Citation [optional]
@@ -196,5 +196,5 @@ Mubarak Daha Isa
 
 ## Model Card Contact
 
-**mubarakdaha8@gmail.com**
-**2023000675.mubarak@pg.sharda.ac.in**
+- **mubarakdaha8@gmail.com**
+- **2023000675.mubarak@pg.sharda.ac.in**