Update README.md

README.md

@@ -7,6 +7,15 @@ tags:
 model-index:
 - name: bert-fa-base-uncased-finetuned-DS_Q_N_C_QA
   results: []
+datasets:
+- Z-Jafari/PersianQuAD
+- Z-Jafari/DS_Q_N_C_QA
+language:
+- fa
+metrics:
+- f1
+- exact_match
+pipeline_tag: question-answering
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,6 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2991
+- {'exact_match': 77.5, 'f1': 81.09818261829699}
 
 ## Model description
 
@@ -43,6 +53,7 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 - mixed_precision_training: Native AMP
+- fp16 = True
 
 ### Training results
 
@@ -58,4 +69,4 @@ The following hyperparameters were used during training:
 - Transformers 4.57.3
 - Pytorch 2.9.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.1
+- Tokenizers 0.22.1