Update README.md

README.md

@@ -4,11 +4,13 @@ tags:
 model-index:
 - name: trocr-base-printed_license_plates_ocr
   results: []
+language:
+- en
+metrics:
+- cer
+pipeline_tag: image-to-text
 ---
 
-<!-- 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. -->
-
 # trocr-base-printed_license_plates_ocr
 
 This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-printed) on an unknown dataset.
@@ -18,15 +20,17 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model extracts text from image input (License Plates).
+
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Optical%20Character%20Recognition%20(OCR)/OCR%20License%20Plates/OCR_license_plate_text_recognition.ipynb
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://www.kaggle.com/datasets/nickyazdani/license-plate-text-recognition-dataset
 
 ## Training procedure
 
@@ -54,4 +58,4 @@ The following hyperparameters were used during training:
 - Transformers 4.21.3
 - Pytorch 1.12.1
 - Datasets 2.4.0
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1