Update README.md

README.md

@@ -86,19 +86,3 @@ sentence_embeddings = F.normalize(sentence_embeddings, p=2, dim=1)
 print("Sentence embeddings:")
 print(sentence_embeddings)
 ```
-
-# Evaluation
-
-The performance of the pre-trained model was evaluated using [ScandEval](https://github.com/ScandEval/ScandEval).
-
-| Task                     | Dataset      | Score (±SE)                     |
-|:-------------------------|:-------------|:--------------------------------|
-| sentiment-classification | angry-tweets | mcc = 36.14 (±1.07)             |
-|                          |              | macro_f1 = 56.57 (±0.84)        |
-| named-entity-recognition | dane         | micro_f1 = 55.56 (±1.69)        |
-|                          |              | micro_f1_no_misc = 57.44 (±1.9) |
-| linguistic-acceptability | scala-da     | mcc = 12.4 (±3.07)              |
-|                          |              | macro_f1 = 53.54 (±2.15)        |
-| question-answering       | scandiqa-da  | em = 17.87 (±1.15)              |
-|                          |              | f1 = 27.84 (±1.37)              |
-| speed                    | speed        | speed = 18.59 (±0.05)           |