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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: 4.8598
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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: 1.25e-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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- | 0.0177 | 1.0 | 47 | 4.5693 |
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- | 0.0193 | 2.0 | 94 | 4.6949 |
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- | 0.0156 | 3.0 | 141 | 4.6756 |
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- | 0.018 | 4.0 | 188 | 4.7300 |
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- | 0.0149 | 5.0 | 235 | 4.7674 |
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- | 0.022 | 6.0 | 282 | 4.8171 |
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- | 0.024 | 7.0 | 329 | 4.8203 |
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- | 0.0381 | 8.0 | 376 | 4.8388 |
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- | 0.045 | 9.0 | 423 | 4.8562 |
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- | 0.0697 | 10.0 | 470 | 4.8598 |
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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: 5.0181
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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: 6.25e-07
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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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+ | 0.0075 | 1.0 | 47 | 4.7786 |
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+ | 0.0087 | 2.0 | 94 | 4.8998 |
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+ | 0.0071 | 3.0 | 141 | 4.8869 |
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+ | 0.0084 | 4.0 | 188 | 4.9188 |
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+ | 0.0076 | 5.0 | 235 | 4.9544 |
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+ | 0.012 | 6.0 | 282 | 4.9870 |
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+ | 0.0148 | 7.0 | 329 | 4.9930 |
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+ | 0.0256 | 8.0 | 376 | 5.0004 |
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+ | 0.0336 | 9.0 | 423 | 5.0148 |
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+ | 0.0601 | 10.0 | 470 | 5.0181 |
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  ### Framework versions
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