Update README.md

README.md

@@ -10,14 +10,14 @@ tags:
 pipeline_tag: sentence-similarity
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-# Model Card for nasa-smd-ibm-st.38m
+# Model Card for INDUS-Retriever-small
 
-`nasa-smd-ibm-st.38m` is a Bi-encoder sentence transformer model, that is fine-tuned from distilled version of nasa-smd-ibm-v0.1 encoder model. it is a smaller version of `nasa-smd-ibm-st` with better performance, using fewer parameters (shown below). It's trained with 362 million examples along with a domain-specific dataset of 2.6 million examples from documents curated by NASA Science Mission Directorate (SMD). With this model, we aim to enhance natural language technologies like information retrieval and intelligent search as it applies to SMD NLP applications.
+INDUS-Retriever-small (previously `nasa-smd-ibm-st.38m`) is a Bi-encoder sentence transformer model, that is fine-tuned from distilled version of nasa-smd-ibm-v0.1 encoder model. it is a smaller version of `nasa-smd-ibm-st` with better performance, using fewer parameters (shown below). It's trained with 362 million examples along with a domain-specific dataset of 2.6 million examples from documents curated by NASA Science Mission Directorate (SMD). With this model, we aim to enhance natural language technologies like information retrieval and intelligent search as it applies to SMD NLP applications.
 
 A bigger model is also available here: https://huggingface.co/nasa-impact/nasa-smd-ibm-st-v2
 
 ## Model Details
-- **Base Encoder Model**: nasa-smd-ibm-v0.1
+- **Base Encoder Model**: INDUS(https://huggingface.co/nasa-impact/nasa-smd-ibm-v0.1)
 - **Tokenizer**: Custom
 - **Parameters**: 38M
 - **Training Strategy**: Sentence Pairs, and score indicating relevancy. The model encodes the two sentence pairs independently and cosine similarity is calculated. the similarity is optimized using the relevance score.