minor adjustment on README.md

README.md

@@ -112,12 +112,12 @@ Please contact the authors to get the dataset if you have a valid LDC license.
 #### Training Results
 - **Training Time:** ~24 hours for ~46000 steps (batch size of 1) on a single A100 GPU
 - **Datasets:** Permuted dataset derived from Linguistic Data Consortium's (LDC) Wall Street Journal (WSJ) dataset.
+- **Training Config:** [link](https://storage.googleapis.com/sgnlp/models/coherence_momentum/config.json)
 
 # Model Parameters
 - **Model Weights:** [link](https://storage.googleapis.com/sgnlp/models/coherence_momentum/pytorch_model.bin)
-- **Model Config:** [link](https://storage.googleapis.com/sgnlp/models/coherence_momentum/config.json) 
 - **Model Inputs:** A paragraph of text. During training, each positive example can be paired with one or more negative examples.
-- **Model Outputs:** Coherence score for the input text.
+- **Model Outputs:** Coherence score for the input text.s
 - **Model Size:** ~930MB
 - **Model Inference Info:**  Not available.
 - **Usage Scenarios:** Essay scoring, summarization, language generation.