Add model description, links to lightmbert, name of master' thesis, and intended uses & limitations

README.md

@@ -4,4 +4,13 @@ license: apache-2.0
 
 # mBERT swedish distileld base model (cased)
 
-This model is a distilled version of [mBERT](https://huggingface.co/bert-base-multilingual-cased). It was distilled using Swedish data, the 2010-2015 portion of the [Swedish Culturomics Gigaword Corpus](https://spraakbanken.gu.se/en/resources/gigaword). The code for the distillation process can be found [here](https://github.com/AddedK/swedish-mbert-distillation/blob/main/azureML/pretrain_distillation.py).
+This model is a distilled version of [mBERT](https://huggingface.co/bert-base-multilingual-cased). It was distilled using Swedish data, the 2010-2015 portion of the [Swedish Culturomics Gigaword Corpus](https://spraakbanken.gu.se/en/resources/gigaword). The code for the distillation process can be found [here](https://github.com/AddedK/swedish-mbert-distillation/blob/main/azureML/pretrain_distillation.py). This was done as part of my Master's Thesis: *Task-agnostic knowledge distillation of mBERT to Swedish*.
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+
+## Model description
+This is a 6-layer version of mBERT, having been distilled using the [LightMBERT](https://arxiv.org/abs/2103.06418) distillation method, but without freezing the embedding layer.
+
+
+## Intended uses & limitations
+You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to
+be fine-tuned on a downstream task.