Update README.md

README.md

@@ -63,22 +63,23 @@ One thing has been changed in this training script: when a sentence pair consist
 It makes no sense to say identical sentences have a score of 4.8 or 4.9.
 
 #### Parameterization of training
-- **Script: [training_stsbenchmark_continue_training.py](https://github.com/UKPLab/sentence-transformers/blob/b86eec31cf0a102ad786ba1ff31bfeb4998d3ca5/examples/training/sts/training_stsbenchmark_continue_training.py)**
-- **Datasets: todo**
-- **GPU: NVIDIA A40 (Driver Version: 515.48.07; CUDA Version: 11.7)**
-- **Batch Size: 32**
-- **Base Model: todo**
-- **Loss Function: Cosine Similarity**
-- **Learning Rate: 2e-5**
-- **Epochs: 3**
-- **Evaluation Samples: 500**
-- **Evaluation Steps: 1000**
-- **Warmup Steps: 10%**
-- **:**
+- **Script:** [training_stsbenchmark_continue_training.py](https://github.com/UKPLab/sentence-transformers/blob/b86eec31cf0a102ad786ba1ff31bfeb4998d3ca5/examples/training/sts/training_stsbenchmark_continue_training.py)
+- **Datasets:** todo
+- **GPU:** NVIDIA A40 (Driver Version: 515.48.07; CUDA Version: 11.7)
+- **Batch Size:** 32
+- **Base Model:** todo
+- **Loss Function:** Cosine Similarity
+- **Learning Rate:** 2e-5
+- **Epochs:** 3
+- **Evaluation Samples:** 500
+- **Evaluation Steps:** 1000
+- **Warmup Steps:** 10%
 
 ### Evaluation <a name="evaluation"></a>
 
  todo todo todo
+todo links für die datensets, knowledge distillation etc
+
 
 The evaluation is based on **[germanDPR](https://arxiv.org/abs/2104.12741)**.
 The dataset developed by [Deepset.ai](deepset.ai) consists of question-answer pairs, which are supplemented by three "hard negatives" per question.