Update README.md

README.md

@@ -7,6 +7,9 @@ datasets:
 model-index:
 - name: distilbert-fa-zwnj-base-finetuned-pquad
   results: []
+language:
+- fa
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,12 +18,44 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-fa-zwnj-base-finetuned-pquad
 
 This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the pquad dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1302
+
+## Results
+
+### Test set
+'exact': 66.38340414896275,
+'f1': 80.23760220987583,
+'total': 8002,
+'HasAns_exact': 60.13469119579501,
+'HasAns_f1': 78.34449620292781,
+'HasAns_total': 6088,
+'NoAns_exact': 86.25914315569489,
+'NoAns_f1': 86.25914315569489,
+'NoAns_total': 1914,
+'best_exact': 66.38340414896275,
+'best_exact_thresh': 0.0,
+'best_f1': 80.23760220987589,
+'best_f1_thresh': 0.0
+
+### Validation set
+'exact': 64.65646940822468,
+'f1': 78.88641788270802,
+'total': 7976,
+'HasAns_exact': 57.54795663052544,
+'HasAns_f1': 76.4800782372771,
+'HasAns_total': 5995,
+'NoAns_exact': 86.16860171630489,
+'NoAns_f1': 86.16860171630489,
+'NoAns_total': 1981,
+'best_exact': 64.65646940822468,
+'best_exact_thresh': 0.0,
+'best_f1': 78.88641788270819,
+'best_f1_thresh': 0.0
+
 
 ## Model description
 
-More information needed
+uses [distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) as base and fine-tunes it on [pquad](https://huggingface.co/datasets/Gholamreza/pquad) dataset.
+
 
 ## Intended uses & limitations
 
@@ -57,4 +92,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
 - Datasets 2.9.0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2