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README.md

@@ -5,6 +5,9 @@ tags:
 model-index:
 - name: AnaniyaX/decision-distilbert-uncased
   results: []
+datasets:
+- textvqa
+- squad
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -12,7 +15,7 @@ probably proofread and complete it, then remove this comment. -->
 
 # AnaniyaX/decision-distilbert-uncased
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on textvqa and squad.
 It achieves the following results on the evaluation set:
 - Train Loss: 0.0097
 - Train Accuracy: 0.9976
@@ -20,11 +23,13 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model takes in text input and outputs a binary classification of 0 if the text is a text-based question or 1 if it is a visual-based question
 
 ## Intended uses & limitations
 
-More information needed
+The model can be used to classify questions in natural language processing tasks such as chatbots or virtual assistants
+it may not perform well on questions that are ambiguous or have multiple interpretations. 
+may also be biased towards certain types of questions based on the training data.
 
 ## Training and evaluation data
 
@@ -59,4 +64,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.2
 - TensorFlow 2.11.0
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2