End of training

README.md

@@ -4,7 +4,7 @@ base_model: makhataei/qa-persian-bert-fa-base-uncased
 tags:
 - generated_from_trainer
 datasets:
-- pquad
+- parsinlu_reading_comprehension
 model-index:
 - name: qa-persian-bert-fa-base-uncased
   results: []
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # qa-persian-bert-fa-base-uncased
 
-This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the pquad dataset.
+This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the parsinlu_reading_comprehension dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.2505
+- Loss: 5.4827
 
 ## Model description
 
@@ -36,22 +36,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.5e-06
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 1e-05
+- train_batch_size: 13
+- eval_batch_size: 13
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 5.4656        | 1.0   | 4000  | 5.2505          |
-| 5.4701        | 2.0   | 8000  | 5.2505          |
-| 5.4749        | 3.0   | 12000 | 5.2505          |
-| 5.4693        | 4.0   | 16000 | 5.2505          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 5.555         | 1.0   | 47   | 5.4827          |
+| 5.5937        | 2.0   | 94   | 5.4827          |
+| 5.572         | 3.0   | 141  | 5.4827          |
+| 5.5986        | 4.0   | 188  | 5.4827          |
+| 5.5752        | 5.0   | 235  | 5.4827          |
+| 5.5955        | 6.0   | 282  | 5.4827          |
+| 5.5849        | 7.0   | 329  | 5.4827          |
+| 5.5728        | 8.0   | 376  | 5.4827          |
+| 5.5257        | 9.0   | 423  | 5.4827          |
+| 5.5533        | 10.0  | 470  | 5.4827          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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