Training in progress, step 500

README.md

@@ -4,7 +4,7 @@ base_model: makhataei/qa-persian-bert-fa-base-uncased
 tags:
 - generated_from_trainer
 datasets:
-- pquad
+- persian_qa
 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 persian_qa dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.2895
+- Loss: 5.4663
 
 ## Model description
 
@@ -36,25 +36,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 24
-- eval_batch_size: 24
+- learning_rate: 1e-05
+- train_batch_size: 14
+- eval_batch_size: 14
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.5083        | 1.0   | 2667 | 5.2895          |
-| 5.5053        | 2.0   | 5334 | 5.2895          |
+| 5.6848        | 1.0   | 644  | 5.4663          |
+| 5.6845        | 2.0   | 1288 | 5.4663          |
+| 5.6867        | 3.0   | 1932 | 5.4663          |
+| 5.6859        | 4.0   | 2576 | 5.4663          |
+| 5.6835        | 5.0   | 3220 | 5.4663          |
+| 5.6845        | 6.0   | 3864 | 5.4663          |
+| 5.6863        | 7.0   | 4508 | 5.4663          |
+| 5.6889        | 8.0   | 5152 | 5.4663          |
+| 5.6815        | 9.0   | 5796 | 5.4663          |
+| 5.6847        | 10.0  | 6440 | 5.4663          |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
-- Pytorch 2.1.0+cu118
+- Pytorch 2.0.1+cu117
 - Datasets 2.15.0
 - Tokenizers 0.15.0

model.safetensors

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