Update README.md

README.md

@@ -4,13 +4,20 @@ license: mit
 base_model: dbmdz/bert-base-turkish-cased
 tags:
 - generated_from_trainer
+- turkish
 metrics:
 - accuracy
 - precision
 - recall
+- f1
 model-index:
 - name: turkish-sentiment
   results: []
+datasets:
+- winvoker/turkish-sentiment-analysis-dataset
+language:
+- tr
+pipeline_tag: text-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # turkish-sentiment
 
-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) on winvoker/turkish-sentiment-analysis-dataset dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0957
 - Accuracy: 0.9657
@@ -41,6 +48,8 @@ More information needed
 
 ## Training procedure
 
+trained on the full dataset for 1000 steps(apx 20 mins on a single gpu). 
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
@@ -69,4 +78,4 @@ 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