Update README.md

README.md

@@ -12,6 +12,9 @@ metrics:
 model-index:
 - name: Bert-RAdam-Large
   results: []
+datasets:
+- surrey-nlp/PLOD-CW-25
+- surrey-nlp/PLODv2-filtered
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Bert-RAdam-Large
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on a subset of the PLODv2-filtered dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2110
 - Precision: 0.7864
@@ -68,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.51.3
 - Pytorch 2.6.0+cu124
 - Datasets 3.5.1
-- Tokenizers 0.21.1
+- Tokenizers 0.21.1