Update README.md

README.md

@@ -1,34 +1,35 @@
 ---
 language:
 - en
-license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
 - glue
 model-index:
-- name: biolinkbert-mnli
+- name: debug
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# biolinkbert-mnli
+# BioLinkBERT-large-mnli
 
-This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the GLUE MNLI dataset.
+This model is a fine-tuned version of [BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the GLUE [MNLI](https://huggingface.co/datasets/multi_nli) dataset.
 
-## Model description
+The results are 
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+| **Model**              | **Dataset** | **Acc** |
+|------------------------|-------------|---------|
+| Roberta-large-mnli     | MNLI dev mm | 90.12   |
+|                        | MNLI dev m  | 90.59   |
+|                        | SNLI test   | 88.25   |
+| BioLinkBERT-large      | MNLI dev mm | 33.56   |
+|                        | MNLI dev m  | 33.18   |
+|                        | SNLI test   | 32.66   |
+| BioLinkBERT-large-mnli | MNLI dev mm | 85.19   |
+|                        | MNLI dev m  | 84.96   |
+|                        | SNLI test   | 78.959  |
 
 ## Training procedure
 
@@ -52,4 +53,4 @@ The following hyperparameters were used during training:
 - Transformers 4.22.2
 - Pytorch 1.12.1+cu113
 - Datasets 2.4.0
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1