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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: 5.6503
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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: 3.125e-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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.6768 | 1.0 | 43 | 5.6503 |
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- | 5.6885 | 2.0 | 86 | 5.6503 |
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- | 5.6743 | 3.0 | 129 | 5.6503 |
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- | 5.7068 | 4.0 | 172 | 5.6503 |
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- | 5.6807 | 5.0 | 215 | 5.6503 |
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- | 5.6998 | 6.0 | 258 | 5.6503 |
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- | 5.7036 | 7.0 | 301 | 5.6503 |
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- | 5.7364 | 8.0 | 344 | 5.6503 |
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- | 5.737 | 9.0 | 387 | 5.6503 |
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- | 5.7667 | 10.0 | 430 | 5.6503 |
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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: 5.6502
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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: 1.5625e-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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.656 | 1.0 | 43 | 5.6503 |
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+ | 5.6695 | 2.0 | 86 | 5.6502 |
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+ | 5.6489 | 3.0 | 129 | 5.6502 |
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+ | 5.666 | 4.0 | 172 | 5.6502 |
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+ | 5.6342 | 5.0 | 215 | 5.6502 |
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+ | 5.6646 | 6.0 | 258 | 5.6501 |
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+ | 5.6857 | 7.0 | 301 | 5.6502 |
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+ | 5.7314 | 8.0 | 344 | 5.6502 |
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+ | 5.7437 | 9.0 | 387 | 5.6502 |
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+ | 5.7715 | 10.0 | 430 | 5.6502 |
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  ### Framework versions
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