add note about evaluate.py

README.md

@@ -35,8 +35,10 @@ print(pipe(['example text','exemple de texte','texto de ejemplo','testo di esemp
 The table below compares some statistics on running the original model, vs the original model with the [onnxruntime](https://onnxruntime.ai/), vs optimizing the model with onnxruntime.
 
 
-| model          | Accuracy | Samples p/ second (CPU) | Samples p/ second (GPU) | GPU VRAM | Disk Space |
+| model          | Accuracy (%) | Samples p/ second (CPU) | Samples p/ second (GPU) | GPU VRAM | Disk Space |
 |----------------|----------|-------------------------|-------------------------|----------|------------|
 | original       | 92.1083  | 16                      | 250                     | 3GB      | 1.1GB      |
 | ort            | 92.1067  | 19                      | 340                     | 4GB      | 1.1GB      |
 | optimized (O4) | 92.1031  | 14                      | 650                     | 2GB      | 540MB      |
+
+For details on how these numbers were reached, check out `evaluate.py` in this repo.