Update README.md

README.md

@@ -747,9 +747,9 @@ language:
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [samchain/EconoBert](https://huggingface.co/samchain/EconoBert). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 This model is the second version of the previous [samchain/econo-sentence-v1](https://huggingface.co/samchain/econo-sentence-v1). They both used the same base model but have been trained on different datasets.
 
-The model has been eavluated both on the newest dataset and its precedent version:
-- `econosentencev2` is the newest dataset. Check its card [here](https://huggingface.co/samchain/econo-pairs-v2)
-- `econosentence-prior_df`is the oldest version. Check its card [here](https://huggingface.co/samchain/econo-pairs)
+The model has been evaluated both on the newest dataset and its precedent version:
+- `econo-pairs-v2` is the newest dataset. Check its card [here](https://huggingface.co/samchain/econo-pairs-v2)
+- `econo-pairs-v1`is the oldest version. Check its card [here](https://huggingface.co/samchain/econo-pairs)
   
 
 ## Model Details
@@ -841,19 +841,19 @@ You can finetune this model on your own dataset.
 
 #### Semantic Similarity
 
-* Datasets: `econosentencev2` and `econosentence-prior_df`
+* Datasets: `econo-pairs-v2` and `econo-pairs-v1`
 * Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
 
-Econo-pairs-v2:
+Econo-sentence-v2 evaluation results:
 
-| Metric              | econosentencev2 | econosentence-prior_df |
+| Metric              | econo-pairs-v2  | econo-pairs-v1         |
 |:--------------------|:----------------|:-----------------------|
 | pearson_cosine      | 0.8556          | 0.8373                 |
 | **spearman_cosine** | **0.862**       | **0.8295**             |
 
-Econo-pairs-v1:
+Econo-sentence-v1 evaluation results:
 
-| Metric              | econosentencev2 | econosentence-prior_df |
+| Metric              | econo-pairs-v2  | econo-pairs-v1         |
 |:--------------------|:----------------|:-----------------------|
 | pearson_cosine      | 0.7642          | 0.8999                 |
 | **spearman_cosine** | **0.758**       | **0.8358**             |