Update README.md

README.md

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-<div style="border: 2px solid #cce7ff; background-color: #d6ecff; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
-
-# 🌍 **MarineLives: Unlocking Early Modern History**
-
-## **MarineLives** is a volunteer-led initiative for transcribing and enriching English High Court of Admiralty records from the 16th and 17th centuries. These records serve as a rich source for exploring social, material, and economic history.
-
-</div>
-
 <div style="border: 2px solid #cce7ff; background-color: #f0f8ff; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
 
-# 🔬 **1.0 Research Focus on Hugging Face**
-
-## **1.1 Fine-tuning Small LLMs**
+# **1.1 Fine-tuning Small LLMs**
 
 Exploring the potential of small LLMs for cleaning Raw HTR outputs from machine-transcribed English Admiralty depositions.
 
-### Fine-Tuned Models:
-- **mT5-small** (300M parameters)
-- **GPT-2 Small** (124M parameters)
-- **LLaMA 3.1** (1B parameters)
-
-### Current Training Data:
-- **100 pages**: 40,000 lines (~0.4M words)
-- **200 pages**: 80,000 lines (~0.8M words)
-- **400 pages**: 160,000 lines (~1.6M words)
-
-### Objectives:
-1. **Word Correction**: Identify and correct errors using contextual and grammatical cues.
-2. **Language Identification**: Distinguish English from Latin text.
-3. **Artefact Removal**: Eliminate HTR-generated artefacts.
-4. **Structural Recognition**: Detect depositions’ components (e.g., front matter, headings, articles).
-5. **Insertion Logic**: Handle missing text at marked positions.
-
-</div>
+<div style="display: grid; grid-template-columns: 1fr 1fr 1fr; gap: 20px; margin-top: 20px;">
+
+  <!-- Box 1: Fine-Tuned Models -->
+  <div style="border: 2px solid #cce7ff; background-color: #ffffff; padding: 15px; border-radius: 10px;">
+    <h3>Fine-Tuned Models</h3>
+    <ul>
+      <li>mT5-small (300M parameters)</li>
+      <li>GPT-2 Small (124M parameters)</li>
+      <li>LLaMA 3.1 (1B parameters)</li>
+    </ul>
+  </div>
+  
+  <!-- Box 2: Current Training Data -->
+  <div style="border: 2px solid #cce7ff; background-color: #ffffff; padding: 15px; border-radius: 10px;">
+    <h3>Current Training Data</h3>
+    <ul>
+      <li><strong>100 pages:</strong> 40,000 lines (~0.4M words)</li>
+      <li><strong>200 pages:</strong> 80,000 lines (~0.8M words)</li>
+      <li><strong>400 pages:</strong> 160,000 lines (~1.6M words)</li>
+    </ul>
+  </div>
+  
+  <!-- Box 3: Objectives -->
+  <div style="border: 2px solid #cce7ff; background-color: #ffffff; padding: 15px; border-radius: 10px;">
+    <h3>Objectives</h3>
+    <ul>
+      <li><strong>Word Correction:</strong> Identify and correct errors using contextual and grammatical cues.</li>
+      <li><strong>Language Identification:</strong> Distinguish English from Latin text.</li>
+      <li><strong>Artefact Removal:</strong> Eliminate HTR-generated artefacts.</li>
+      <li><strong>Structural Recognition:</strong> Detect depositions’ components (e.g., front matter, headings, articles).</li>
+      <li><strong>Insertion Logic:</strong> Handle missing text at marked positions.</li>
+    </ul>
+  </div>
 
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