Update README.md

README.md

@@ -17,10 +17,14 @@ For LLM and vision tower, we choose [OpenELM-270M-Instruct](apple/OpenELM-270M-I
 
 # Result
 
-For now we measured only [POPE](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#pope) with these results
+[POPE](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#pope):
 
 | Category    | # Samples | TP   | FP  | TN   | FN  | Accuracy | Precision | Recall | F1 Score | Yes Ratio |
 |-------------|------------|------|-----|------|-----|----------|-----------|--------|----------|-----------|
 | Adversarial | 3000       | 1264 | 575 | 925  | 236 | 0.7297   | 0.6873    | 0.8427 | 0.7571   | 0.613     |
 | Popular     | 3000       | 1264 | 301 | 1199 | 236 | 0.8210   | 0.8077    | 0.8427 | 0.8248   | 0.5217    |
 | Random      | 2910       | 1264 | 290 | 1120 | 236 | 0.8192   | 0.8134    | 0.8427 | 0.8278   | 0.5340    |
+
+[TEXTVQA](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#textvqa)
+
+Samples 5000, Accuracy 27%