Update README.md

README.md

@@ -5,33 +5,24 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
-model-index:
-- name: xtremedistil-l6-h256-uncased-OCR-quality-classification-cls
-  results: []
+datasets:
+- pszemraj/OCR-quality-classification
+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. -->
+# xtremedistil-l6-h256-uncased: OCR-quality-classification
 
-# xtremedistil-l6-h256-uncased-OCR-quality-classification-cls
+This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://hf.co/microsoft/xtremedistil-l6-h256-uncased) on `pszemraj/OCR-quality-classification`  
 
-This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0316
 - Accuracy: 0.994
 - Num Input Tokens Seen: 57341952
 
-## Model description
-
-More information needed
-
 ## Intended uses & limitations
 
-More information needed
-
-## Training and evaluation data
-
-More information needed
+predict whether a document is clean or noisy
 
 ## Training procedure
 
@@ -67,4 +58,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.2
 - Pytorch 2.2.0+cu121
 - Datasets 2.19.1
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1