Update README.md

README.md

@@ -4,7 +4,7 @@ emoji: 🌖
 colorFrom: purple
 colorTo: pink
 sdk: gradio
-sdk_version: 4.7.1
+sdk_version: 4.41.0
 app_file: app.py
 pinned: false
 license: apache-2.0
@@ -12,11 +12,13 @@ tags:
 - evaluate
 - metric
 description: >-
-  Perplexity metric implemented by d-Matrix.
-  Perplexity (PPL) is one of the most common metrics for evaluating language models.
-  It is defined as the exponentiated average negative log-likelihood of a sequence, calculated with exponent base `e`.
-  Note that this metric is intended for Causual Language Models, the perplexity calculation is only correct if model uses Cross Entropy Loss.
-  For more information, see https://huggingface.co/docs/transformers/perplexity
+  Perplexity metric implemented by d-Matrix. Perplexity (PPL) is one of the most
+  common metrics for evaluating language models. It is defined as the
+  exponentiated average negative log-likelihood of a sequence, calculated with
+  exponent base `e`. Note that this metric is intended for Causual Language
+  Models, the perplexity calculation is only correct if model uses Cross Entropy
+  Loss. For more information, see
+  https://huggingface.co/docs/transformers/perplexity
 ---
 
 # Metric Card for Perplexity