update README

README.md

@@ -4,33 +4,35 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: test-mlm-bert-base-uncased-netflow-3M-mixed
+- name: NetFID-NetFlow
   results: []
 ---
 
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-# test-mlm-bert-base-uncased-netflow-3M-mixed
+# NetFID-NetFlow
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a train-from-scratch version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on a mixed-source NetFlow dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7583
 - Accuracy: 0.7759
 
 ## Model description
-
-More information needed
+Pretrained model with [bert-base-uncased](https://huggingface.co/bert-base-uncased) (110M parameters) as the base architecture.
 
 ## Intended uses & limitations
+This model is mainly used to get embeddings for NetFlow data, which can be further used for ML-based tasks e.g., classification, clustering, etc.
 
-More information needed
+## How to use
+The usage is almost the same as regular BERT models, except that the input data is NetFlow data.
 
-## Training and evaluation data
 
-More information needed
+## Training and evaluation data
+TBD.
 
 ## Training procedure
+TBD.
 
 ### Training hyperparameters