final update card model

README.md

@@ -10,17 +10,18 @@ tags:
 
 # BERT Fine-tuned Financial Sentiment Analysis Model
 
-<div style="text-align:center;width:250px;height:250px;">
-    <img src="https://huggingface.co/Shaivn/Financial-Sentiment-Analysis/resolve/main/financial-sentiment-analysis-logo.png" alt="logo">
+<div style="text-align:center;">
+    <img src="https://huggingface.co/Shaivn/Financial-Sentiment-Analysis/resolve/main/financial-sentiment-analysis-logo.png" alt="logo" style="width:250px;height:250px;">
 </div>
 
 
+
 This model is a Fine-Tuned version of BERT (bert-base-uncased)
 It is designed to classify text into positive, neutral, and negative sentiments. The fine-tuning was performed using the Financial Phrase Bank dataset.
 
 ## Results
 
-It achieves the followring results on the evaluation set:
+It achieves the following results on the evaluation set:
 
 * F1 Score: 0.9468
 * Validation loss: 0.1860
@@ -51,4 +52,4 @@ The following hyperparameters were used during training:
 
 
 
-This model is a part of my thesis: "A proposal of a Sentiment Analysis Model for Business Intelligence"
+This model is a part of my thesis: "A Proposal of a Sentiment Analysis Model for Business Intelligence"