Update README.md

README.md

@@ -4,6 +4,7 @@ license: mit
 base_model: dbmdz/bert-base-turkish-cased
 tags:
 - generated_from_trainer
+- turkish
 metrics:
 - accuracy
 - f1
@@ -12,6 +13,11 @@ metrics:
 model-index:
 - name: turkish-zeroshot
   results: []
+datasets:
+- facebook/xnli
+language:
+- tr
+pipeline_tag: zero-shot-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,13 +25,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # turkish-zeroshot
 
-This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
+This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) onfacebook/xnli tr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6808
-- Accuracy: 0.7671
-- F1: 0.7677
-- Precision: 0.7764
-- Recall: 0.7671
+- Loss: 0.5637
+- Accuracy: 0.7731
+- F1: 0.7740
+- Precision: 0.7804
+- Recall: 0.7731
 
 ## Model description
 
@@ -142,4 +148,4 @@ 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