Update README.md

README.md

@@ -11,6 +11,10 @@ metrics:
 model-index:
 - name: bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY-20230913-3
   results: []
+datasets:
+- bluesky333/chemical_language_understanding_benchmark
+language:
+- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-uncased-MLP-scirepeval-chemistry-LARGE-textCLS-RHEOLOGY-20230913-3
 
-This model is a fine-tuned version of [jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE](https://huggingface.co/jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE) on an unknown dataset.
+This model is a fine-tuned version of [jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE](https://huggingface.co/jonas-luehrs/bert-base-uncased-MLP-scirepeval-chemistry-LARGE) on the RHEOLOGY dataset of the [blue333/chemical_language_understanding_benchmark](https://huggingface.co/datasets/bluesky333/chemical_language_understanding_benchmark).
 It achieves the following results on the evaluation set:
 - Loss: 0.6836
 - F1: 0.7805
@@ -67,4 +71,4 @@ The following hyperparameters were used during training:
 - Transformers 4.33.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3