bert-fa-QA-v1

README.md

@@ -2,18 +2,12 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- persian_qa
 model_index:
 - name: bert-fa-QA-v1
   results:
   - task:
       name: Question Answering
       type: question-answering
-    dataset:
-      name: persian_qa
-      type: persian_qa
-      args: persian_qa
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-fa-QA-v1
 
-This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the persian_qa dataset.
+This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on an unkown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.4213
+- Loss: 1.7297
 
 ## Model description
 
@@ -54,13 +48,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.237         | 1.0   | 1126 | 3.9892          |
-| 0.1135        | 2.0   | 2252 | 4.4213          |
+| 2.2563        | 1.0   | 1126 | 1.7222          |
+| 1.3372        | 2.0   | 2252 | 1.7297          |
 
 
 ### Framework versions
 
 - Transformers 4.9.0
 - Pytorch 1.9.0+cu102
-- Datasets 1.10.2
 - Tokenizers 0.10.3

pytorch_model.bin

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