Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- plo_dunfiltered_config
+- surrey-nlp/PLOD-unfiltered
 metrics:
 - precision
 - recall
@@ -22,8 +22,8 @@ model-index:
       name: Token Classification
       type: token-classification
     dataset:
-      name: plo_dunfiltered_config
-      type: plo_dunfiltered_config
+      name: surrey-nlp/PLOD-unfiltered
+      type: token-classification
       args: PLODunfiltered
     metrics:
     - name: Precision
@@ -45,7 +45,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # albert-large-v2-finetuned-ner_with_callbacks
 
-This model is a fine-tuned version of [albert-large-v2](https://huggingface.co/albert-large-v2) on the plo_dunfiltered_config dataset.
+This model is a fine-tuned version of [albert-large-v2](https://huggingface.co/albert-large-v2) on the [PLOD-unfiltered](https://huggingface.co/datasets/surrey-nlp/PLOD-unfiltered) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1235
 - Precision: 0.9655