Update README.md

README.md

@@ -8,10 +8,10 @@ pipeline_tag: text-classification
 library_name: transformers
 ---
 
-A pretrained [ELECTRA-Tiny](https://huggingface.co/bsu-slim/electra-tiny/tree/main) model. Pretraining [data](https://osf.io/5mk3x) 
-was from the [2024 BabyLM Challenge](https://babylm.github.io/index.html). Used personally to perform text classification 
-on the [Web of Science Dataset WOS-46985](https://data.mendeley.com/datasets/9rw3vkcfy4/6) but this model is not currently fine-tuned
-for that task. Also evaluated on BLiMP using a pipeline provided by the 2024 BabyLM challenge.
+A pretrained [ELECTRA-Tiny](https://huggingface.co/bsu-slim/electra-tiny/tree/main) model. Used pretraining [data](https://osf.io/5mk3x) 
+from the [2024 BabyLM Challenge](https://babylm.github.io/index.html). Used to perform text classification 
+on the [Web of Science Dataset WOS-46985](https://data.mendeley.com/datasets/9rw3vkcfy4/6) but this model is not currently finetuned
+for that task. Also evaluated on BLiMP using the [2024 BabyLM evaluation pipeline](https://github.com/babylm/evaluation-pipeline-2024).
 
 
 # Training
@@ -50,7 +50,6 @@ Used WOS pipeline as defined in this [repository](https://github.com/bakirgrbic/
 
 
 ## BLiMP
-Used BLiMP evaluation from the [2024 BabyLM evaluation pipeline repository](https://github.com/babylm/evaluation-pipeline-2024).
 
 ### Results
 - blimp_supplement accuracy: 49.79%