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End of training

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README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4827
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  ## Model description
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@@ -36,9 +36,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.5e-06
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- - train_batch_size: 13
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- - eval_batch_size: 13
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.5545 | 1.0 | 47 | 5.4827 |
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- | 5.5933 | 2.0 | 94 | 5.4827 |
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- | 5.5715 | 3.0 | 141 | 5.4827 |
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- | 5.5982 | 4.0 | 188 | 5.4827 |
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- | 5.575 | 5.0 | 235 | 5.4827 |
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- | 5.5952 | 6.0 | 282 | 5.4827 |
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- | 5.5846 | 7.0 | 329 | 5.4827 |
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- | 5.5727 | 8.0 | 376 | 5.4827 |
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- | 5.5257 | 9.0 | 423 | 5.4827 |
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- | 5.5533 | 10.0 | 470 | 5.4827 |
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  ### Framework versions
 
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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 parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4907
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.427 | 1.0 | 86 | 5.4907 |
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+ | 5.3976 | 2.0 | 172 | 5.4907 |
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+ | 5.4328 | 3.0 | 258 | 5.4907 |
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+ | 5.4409 | 4.0 | 344 | 5.4907 |
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+ | 5.4066 | 5.0 | 430 | 5.4907 |
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+ | 5.3959 | 6.0 | 516 | 5.4907 |
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+ | 5.4104 | 7.0 | 602 | 5.4907 |
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+ | 5.3952 | 8.0 | 688 | 5.4907 |
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+ | 5.4035 | 9.0 | 774 | 5.4907 |
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+ | 5.4389 | 10.0 | 860 | 5.4907 |
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  ### Framework versions
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