Update README.md

README.md

@@ -122,8 +122,10 @@ language:
 - yo
 - zh
 ---
+**This repository contains the best mHuBERT-147 model.**
 
 
+**MODEL DETAILS:** 3rd iteration, K=1000, HuBERT base architecture (95M parameters), 147 languages.
 
 # Table of Contents:
 
@@ -131,7 +133,7 @@ language:
 2. [Training Data and Code](https://huggingface.co/utter-project/mHuBERT-147#training)
 3. [ML-SUPERB Scores](https://huggingface.co/utter-project/mHuBERT-147#ml-superb-scores)
 4. [Languages and Datasets](https://huggingface.co/utter-project/mHuBERT-147#languages-and-datasets)
-5. [Citing and Funding Information](https://huggingface.co/utter-project/mHuBERT-147#citing-and-funding-information)
+6. [Citing and Funding Information](https://huggingface.co/utter-project/mHuBERT-147#citing-and-funding-information)
    
 # mHuBERT-147 models
 
@@ -141,10 +143,13 @@ Training employs a two-level language, data source up-sampling during training.
 
 **This repository contains:**
 * Fairseq checkpoint (original);
-* HuggingFace checkpoint;
+* HuggingFace checkpoint (conversion using transformers library);
 * Faiss index for continuous pre-training (OPQ16_64,IVF1000_HNSW32,PQ16x4fsr).
 
-**Model details:** 3rd iteration, base architecture, 147 languages.
+**Related Models:**
+* Second Iteration repository: https://huggingface.co/utter-project/mHuBERT-147-base-2nd-iter
+* First Iteration repository: https://huggingface.co/utter-project/mHuBERT-147-base-1st-iter
+* CommonVoice Prototype (12 languages): https://huggingface.co/utter-project/hutter-12-3rd-base
 
 # Training