Update README.md

README.md

@@ -15,16 +15,15 @@ library_name: transformers
 # DeBERTa-v3-base — Spatial Language Detection
 
 A fine-tuned [`microsoft/deberta-v3-base`](https://huggingface.co/microsoft/deberta-v3-base)
-for **binary spatial language detection**: deciding whether a piece of text
-contains spatial language (descriptions of location, direction, or spatial
-relationships) or not within the context of a verbal utterance.
+for **binary spatial language detection**: deciding whether words are spatial language (descriptions of location, direction, or spatial
+relationships) within the context of a verbal utterance. see github for more information <address: https://github.com/SamAgnoli/spatial-language-classifier/blob/main/README.md>
 
 ## Labels
 
 | id | label | meaning |
 |----|-------------|------------------------------------------|
-| 0  | not_spatial | text contains no spatial language |
-| 1  | spatial     | text contains spatial language |
+| 0  | not_spatial | word is not spatial language |
+| 1  | spatial     | word is spatial language |
 
 ## Usage
 
@@ -62,6 +61,7 @@ print(clf("The cat is sitting on top of the bookshelf."))
 - **Task:** binary sequence classification (spatial vs. not spatial)
 - **Framework:** 🤗 Transformers
 
+## T
 <!-- TODO: add dataset description, training hyperparameters, and evaluation
      metrics (accuracy / F1 on your held-out set). -->