Update README.md

README.md

@@ -5,6 +5,16 @@ tags:
 model-index:
 - name: xlm-roberta-base-finetuned-pquad-squad
   results: []
+datasets:
+- Gholamreza/pquad
+- squad_v2
+language:
+- en
+- fa
+metrics:
+- f1
+- exact_match
+library_name: transformers
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -12,21 +22,24 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-finetuned-pquad-squad
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+This model is a version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) fine-tuned jointly on PQuAD and SQuAD_v2 datasets.
+
+## Results
+Trained only for 3000/12000 steps (1/4th of an epoch) due to computational restrictions.
+
+{'exact': 66.57766134314072,
+ 'f1': 73.79323871739385,
+ 'total': 19849,
+ 'HasAns_exact': 64.51396460622327,
+ 'HasAns_f1': 76.52620945245035,
+ 'HasAns_total': 11923,
+ 'NoAns_exact': 69.68205904617714,
+ 'NoAns_f1': 69.68205904617714,
+ 'NoAns_total': 7926,
+ 'best_exact': 66.57766134314072,
+ 'best_exact_thresh': 0.0,
+ 'best_f1': 73.79323871739267,
+ 'best_f1_thresh': 0.0}
 
 ### Training hyperparameters
 
@@ -44,4 +57,4 @@ 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