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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: 5.1241
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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: 1.953125e-08
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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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- | 0.0024 | 1.0 | 47 | 5.1171 |
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- | 0.0022 | 2.0 | 94 | 5.1147 |
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- | 0.0026 | 3.0 | 141 | 5.1135 |
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- | 0.0028 | 4.0 | 188 | 5.1116 |
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- | 0.0034 | 5.0 | 235 | 5.1126 |
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- | 0.0056 | 6.0 | 282 | 5.1166 |
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- | 0.0081 | 7.0 | 329 | 5.1197 |
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- | 0.0156 | 8.0 | 376 | 5.1220 |
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- | 0.0253 | 9.0 | 423 | 5.1238 |
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- | 0.0546 | 10.0 | 470 | 5.1241 |
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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: 5.6503
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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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+ | 5.6573 | 1.0 | 43 | 5.6503 |
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+ | 5.7768 | 2.0 | 86 | 5.6503 |
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+ | 5.7672 | 3.0 | 129 | 5.6503 |
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+ | 5.7933 | 4.0 | 172 | 5.6503 |
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+ | 5.7729 | 5.0 | 215 | 5.6503 |
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+ | 5.7827 | 6.0 | 258 | 5.6503 |
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+ | 5.7825 | 7.0 | 301 | 5.6503 |
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+ | 5.7841 | 8.0 | 344 | 5.6503 |
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+ | 5.7551 | 9.0 | 387 | 5.6503 |
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+ | 5.7649 | 10.0 | 430 | 5.6503 |
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  ### Framework versions
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