Update README.md

README.md

@@ -42,26 +42,43 @@ In order to train the model the following dataset where used:
  - ABSC amazon review
  - SST2
 
-# Evaluation and comparison with GPT-4o model:
+# Evaluation and comparison with Vanilla and GPT-4o model:
 
 | Dataset          | Model  | F1     | Accuracy |
 |------------------|--------|--------|----------|
+|                  | Vanilla| 0.0000 | 0.0000   |
 | **sst2**         | Our    | 0.6161 | 0.9231   |
 |                  | GPT-4  | 0.6113 | 0.8605   |
+|---|---|---|---|
+|                  | Vanilla| 0.2453 | 0.5820   |
 | **sent-eng**     | Our    | 0.6289 | 0.6470   |
 |                  | GPT-4  | 0.4611 | 0.5870   |
+|---|---|---|---|
+|                  | Vanilla| 0.0889 | 0.1538   |
 | **sent-twi**     | Our    | 0.3368 | 0.3488   |
 |                  | GPT-4  | 0.5049 | 0.5385   |
+|---|---|---|---|
+|                  | Vanilla| 0.0000 | 0.0000   |
 | **mixed**        | Our    | 0.5644 | 0.7786   |
 |                  | GPT-4  | 0.5336 | 0.6863   |
+|---|---|---|---|
+|                  | Vanilla| 0.1475 | 0.2842   |
 | **absc-laptop**  | Our    | 0.5513 | 0.6682   |
 |                  | GPT-4  | 0.6679 | 0.7642   |
+|---|---|---|---|
+|                  | Vanilla| 0.1045 | 0.1858   |
 | **absc-rest**    | Our    | 0.6149 | 0.7726   |
 |                  | GPT-4  | 0.7057 | 0.8385   |
+|---|---|---|---|
+|                  | Vanilla| 0.1455 | 0.2791   |
 | **stanford**     | Our    | 0.8352 | 0.8353   |
 |                  | GPT-4  | 0.8045 | 0.8032   |
+|---|---|---|---|
+|                  | Vanilla| 0.0000 | 0.0000   |
 | **amazon-var**   | Our    | 0.6432 | 0.9647   |
-|                  | GPT-4  | 0.0000 | 0.9450   |
+|                  | GPT-4  | -----  | 0.9450   |
+
+F1 score is measured with macro average computation parameter. 
 
 # Source code
-[Repo](https://github.com/alexdrk14/DeBerta-v3-base-Sent)
+[GitHub Repository](https://github.com/alexdrk14/mDeBERTa-v3-multi-sent)