Update README.md

README.md

@@ -2,8 +2,6 @@
 library_name: transformers
 license: mit
 base_model: roberta-base
-tags:
-- generated_from_trainer
 metrics:
 - accuracy
 model-index:
@@ -15,28 +13,18 @@ language:
 - en
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# roberta-base-unified-mcqa: 4-choice
 
-# roberta-base-unified-mcqa-v2
-
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the [unified-mcqa](https://huggingface.co/datasets/pszemraj/unified-mcqa) dataset (4 choice config).
 It achieves the following results on the evaluation set:
 - Loss: 0.5534
 - Accuracy: 0.8030
 - Num Input Tokens Seen: 2785906024
 
-## Model description
-
-More information needed
-
 ## Intended uses & limitations
 
-More information needed
-
-## Training and evaluation data
+goal is to see if training on general MCQ data helps A) GLUE evals B) results in a better base model than just the MLM output
 
-More information needed
 
 ## Training procedure