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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-distilbert-fa-zwnj-base](https://huggingface.co/makhataei/qa-persian-distilbert-fa-zwnj-base) on the parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0605
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  ## Model description
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@@ -36,7 +36,7 @@ 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: 5e-06
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  - train_batch_size: 13
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  - eval_batch_size: 13
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  - seed: 42
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.426 | 1.0 | 47 | 3.4265 |
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- | 0.3255 | 2.0 | 94 | 3.5284 |
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- | 0.2722 | 3.0 | 141 | 3.6123 |
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- | 0.2179 | 4.0 | 188 | 3.7518 |
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- | 0.1692 | 5.0 | 235 | 3.8211 |
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- | 0.1706 | 6.0 | 282 | 3.9268 |
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- | 0.151 | 7.0 | 329 | 3.9939 |
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- | 0.166 | 8.0 | 376 | 4.0470 |
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- | 0.1505 | 9.0 | 423 | 4.0532 |
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- | 0.17 | 10.0 | 470 | 4.0605 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [makhataei/qa-persian-distilbert-fa-zwnj-base](https://huggingface.co/makhataei/qa-persian-distilbert-fa-zwnj-base) on the parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.5713
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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: 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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0646 | 1.0 | 47 | 4.1193 |
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+ | 0.0608 | 2.0 | 94 | 4.2495 |
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+ | 0.0517 | 3.0 | 141 | 4.2699 |
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+ | 0.0467 | 4.0 | 188 | 4.3474 |
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+ | 0.0394 | 5.0 | 235 | 4.4168 |
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+ | 0.0506 | 6.0 | 282 | 4.5005 |
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+ | 0.0487 | 7.0 | 329 | 4.5162 |
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+ | 0.0678 | 8.0 | 376 | 4.5540 |
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+ | 0.07 | 9.0 | 423 | 4.5671 |
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+ | 0.0922 | 10.0 | 470 | 4.5713 |
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  ### Framework versions
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