Update README.md

README.md

@@ -3,7 +3,8 @@ library_name: transformers
 license: apache-2.0
 base_model: answerdotai/ModernBERT-base
 tags:
-- generated_from_trainer
+- modernbert
+- zeroshot
 metrics:
 - accuracy
 - f1
@@ -12,6 +13,11 @@ metrics:
 model-index:
 - name: modernbert-zeroshot-xnli-eng-0.1
   results: []
+datasets:
+- facebook/xnli
+language:
+- en
+pipeline_tag: zero-shot-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,28 +25,25 @@ should probably proofread and complete it, then remove this comment. -->
 
 # modernbert-zeroshot-xnli-eng-0.1
 
-This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
+This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on 10% of the english subset of facebook/xnli dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7444
-- Accuracy: 0.8343
-- F1: 0.8371
-- Precision: 0.8738
-- Recall: 0.8343
+- Test Loss: 0.3539
+- F1: 0.8596
+
 
 ## Model description
 
-More information needed
+answerdotai/ModernBERT-base
 
 ## Intended uses & limitations
 
-More information needed
-
 ## Training and evaluation data
 
-More information needed
+10% of the english subset of facebook/xnli dataset.
 
 ## Training procedure
 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -77,4 +80,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.0.dev0
 - Pytorch 2.4.1+cu121
 - Datasets 3.1.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0