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End of training

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README.md CHANGED
@@ -4,7 +4,7 @@ base_model: makhataei/qa-persian-bert-fa-base-uncased
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  tags:
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  - generated_from_trainer
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  datasets:
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- - persian_qa
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  model-index:
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  - name: qa-persian-bert-fa-base-uncased
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  results: []
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # qa-persian-bert-fa-base-uncased
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- 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.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.7021
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  ## Model description
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@@ -37,27 +37,20 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 14
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- - eval_batch_size: 14
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.1038 | 1.0 | 644 | 1.9419 |
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- | 0.8384 | 2.0 | 1288 | 2.3613 |
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- | 0.5632 | 3.0 | 1932 | 2.3215 |
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- | 0.2658 | 4.0 | 2576 | 2.9592 |
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- | 0.1652 | 5.0 | 3220 | 3.2437 |
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- | 0.1497 | 6.0 | 3864 | 3.7557 |
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- | 0.0701 | 7.0 | 4508 | 4.0651 |
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- | 0.0398 | 8.0 | 5152 | 4.5260 |
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- | 0.0191 | 9.0 | 5796 | 4.7113 |
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- | 0.013 | 10.0 | 6440 | 4.7021 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  datasets:
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+ - pquad
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  model-index:
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  - name: qa-persian-bert-fa-base-uncased
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  results: []
 
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  # qa-persian-bert-fa-base-uncased
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+ 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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4982
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 24
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+ - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1247 | 1.0 | 2667 | 1.8245 |
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+ | 0.0725 | 2.0 | 5334 | 1.9386 |
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+ | 0.0263 | 3.0 | 8001 | 2.4982 |
 
 
 
 
 
 
 
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  ### Framework versions
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