Crystalcareai commited on
Commit
7514bd7
·
verified ·
1 Parent(s): f002d69

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -9
README.md CHANGED
@@ -38,15 +38,17 @@ The model's deep understanding of SEC filings and related financial data makes i
38
 
39
  To ensure the robustness and effectiveness of Llama-3-SEC, the model has undergone rigorous evaluation on both domain-specific and general benchmarks. Key evaluation metrics include:
40
 
41
- <table>
42
- <tr>
43
- <td><img src="https://i.ibb.co/xGHRfLf/Screenshot-2024-06-11-at-10-23-59-PM.png" alt="Domain Specific Perplexity of Model Variants" width="400"></td>
44
- <td><img src="https://i.ibb.co/2v6PdDx/Screenshot-2024-06-11-at-10-25-03-PM.png" alt="Domain Specific Evaluations of Model Variants" width="400"></td>
45
- </tr>
46
- <tr>
47
- <td colspan="2"><img src="https://i.ibb.co/K5d0wMh/Screenshot-2024-06-11-at-10-23-18-PM.png" alt="General Evaluations of Model Variants" width="800"></td>
48
- </tr>
49
- </table>
 
 
50
 
51
 
52
  The evaluation results demonstrate significant improvements in domain-specific performance while maintaining strong general capabilities, thanks to the use of advanced CPT and model merging techniques.
 
38
 
39
  To ensure the robustness and effectiveness of Llama-3-SEC, the model has undergone rigorous evaluation on both domain-specific and general benchmarks. Key evaluation metrics include:
40
 
41
+ <div style="display: flex; flex-wrap: wrap; justify-content: center;">
42
+ <div style="flex: 1 1 400px; margin: 10px;">
43
+ <img src="https://i.ibb.co/xGHRfLf/Screenshot-2024-06-11-at-10-23-59-PM.png" alt="Domain Specific Perplexity of Model Variants" width="100%">
44
+ </div>
45
+ <div style="flex: 1 1 400px; margin: 10px;">
46
+ <img src="https://i.ibb.co/2v6PdDx/Screenshot-2024-06-11-at-10-25-03-PM.png" alt="Domain Specific Evaluations of Model Variants" width="100%">
47
+ </div>
48
+ </div>
49
+ <div style="text-align: center;">
50
+ <img src="https://i.ibb.co/K5d0wMh/Screenshot-2024-06-11-at-10-23-18-PM.png" alt="General Evaluations of Model Variants" width="80%">
51
+ </div>
52
 
53
 
54
  The evaluation results demonstrate significant improvements in domain-specific performance while maintaining strong general capabilities, thanks to the use of advanced CPT and model merging techniques.