Update README

README.md

@@ -17,6 +17,28 @@ The hyperparameters corresponding to model sizes mentioned above are as follows:
 
 | Model Size | L  | AH | HS  | FFN  | P    | Seq  |
 |------------|----|----|-----|------|------|------|
-| BASE       | 12 | 4  | 256 | 1024 | 14M  | 512  |
+| SMALL      | 12 | 4  | 256 | 1024 | 14M  | 512  |
 
 (L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters; Seq = maximum sequence length.)
+
+
+### Framework versions
+
+- Transformers 4.12.0.dev0
+- Pytorch 1.9.0+cu111
+- Datasets 1.13.3
+- Tokenizers 0.10.3
+
+
+## Citation
+
+If you use this model in your product or research, please cite as follows:
+
+```
+@article{Fitsum2021TiPLMs,
+  author={Fitsum Gaim and Wonsuk Yang and Jong C. Park},
+  title={Monolingual Pre-trained Language Models for Tigrinya},
+  year=2021,
+  publisher={WiNLP 2021 at EMNLP 2021}
+}
+```