Edits to references (#4)

- Model card references removed (483d475fc0f7c9117f2924f1cf213826dd14e4d3)

README.md

@@ -52,7 +52,7 @@ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [A
 - **Output Dimensionality:** 768 dimensions
 - **Similarity Function:** Cosine Similarity
 - **Training Dataset:**
-    - csv
+    - Quora csv
 <!-- - **Language:** Unknown -->
 <!-- - **License:** Unknown -->
 
@@ -73,8 +73,6 @@ SentenceTransformer(
 
 ## Usage
 
-### Direct Usage (Sentence Transformers)
-
 First install the Sentence Transformers library:
 
 ```bash
@@ -104,15 +102,14 @@ print(similarities.shape)
 
 #### My Binary Classification
 
-* Evaluated with <code>scache.train.MyBinaryClassificationEvaluator</code>
 
 | Metric                    | Value     |
 |:--------------------------|:----------|
-| cosine_accuracy           | 0.9023    |
-| cosine_f1                 | 0.9028    |
-| cosine_precision          | 0.8987    |
-| cosine_recall             | 0.9069    |
-| **cosine_ap**             | **0.952** |
+| cosine_accuracy           |     |
+| cosine_f1                 |     |
+| cosine_precision          |    |
+| cosine_recall             |     |
+| **cosine_ap**             |  |
 
 
 ## Training Details
@@ -122,7 +119,7 @@ print(similarities.shape)
 #### csv
 
 * Dataset: csv
-* Size: 323,480 training samples
+* Size:  training samples
 * Columns: <code>question_1</code>, <code>question_2</code>, and <code>label</code>
 
 ### Evaluation Dataset
@@ -130,7 +127,7 @@ print(similarities.shape)
 #### csv
 
 * Dataset: csv
-* Size: 323,480 evaluation samples
+* Size: evaluation samples
 * Columns: <code>question_1</code>, <code>question_2</code>, and <code>label</code>
 
 ## Citation
@@ -139,14 +136,13 @@ print(similarities.shape)
 
 #### Sentence Transformers
 ```bibtex
-@inproceedings{reimers-2019-sentence-bert,
-    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
-    author = "Reimers, Nils and Gurevych, Iryna",
-    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
-    month = "11",
-    year = "2019",
-    publisher = "Association for Computational Linguistics",
-    url = "https://arxiv.org/abs/1908.10084",
+@inproceedings{redisetal.,
+    title = "",
+    author = "",
+    month = "",
+    year = "",
+    publisher = "",
+    url = "",
 }
 ```