Update README.md

README.md

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-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
 
 # bert-base-multilingual-cased-finetuned-openalex-topic-classification-title-abstract
 
-This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Train Loss: 2.4942
-- Validation Loss: 3.0737
-- Validation Accuracy: 0.4846
-- Epoch: 7
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on a labeled dataset provided by CWTS:
+[CWTS Labeled Data].
+
+This is NOT the full model being used to tag OpenAlex works with a topic. For that, check out the following github repo:
+[OpenAlex Topic Classification](https://github.com/ourresearch/openalex-topic-classification)
 
 ## Model description
 
-More information needed
+The input data is expected to be in the following format:
+
+"<TITLE> {insert-processed-title-here}\n<ABSTRACT> {insert-processed-abstract-here}"
+
+Since this was train
 
 ## Intended uses & limitations
 
-More information needed
+The model is intended to be used as part of a larger model that also incorporates journal information and citation features. However, this model is good if you want to use it for quickly generating a topic based only on a title/abstract.
+
+Since this model was fine-tuned on a BERT model, all of the biases seen in that model will most likely show up in this model as well.
 
 ## Training and evaluation data