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README.md

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-## Model
+# SOTA Entity Recognition V1 foundation model by NuMind 🔥
+
+ This model provides the best embedding for the Entity Recognition task.
+
+**Checkout other models by NuMind:**
+* SOTA Entity Recognition foundation model in English: [link](https://huggingface.co/numind/entity-recognition-general-sota-v1)
+* SOTA Sentiment Analysis foundation model: [English](https://huggingface.co/numind/generic-sentiment-v1), [Multilingual](https://huggingface.co/numind/generic-sentiment-multi-v1)
+
+## About
 
 [Multilingual BERT](https://huggingface.co/bert-base-multilingual-cased) finetunned on an artificially annotated multilingual subset of [Oscar dataset](https://huggingface.co/datasets/oscar-corpus/OSCAR-2201). This model provides domain & language independent embedding for Entity Recognition Task.
 
+**Metrics:**
+
+Read more about evaluation protocol & datasets in our blog post
 
+| Model | F1 macro |
+|----------|----------|
+|   bert-base-multilingual-cased  |  0.5206   |
+|   ours  |   0.5892  |
+|   ours + two emb  |   0.6231  |
 
 
 ## Usage