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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: 5.1290
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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: 1.5625e-07
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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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- | 0.0032 | 1.0 | 47 | 5.0184 |
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- | 0.0032 | 2.0 | 94 | 5.0315 |
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- | 0.0034 | 3.0 | 141 | 5.0460 |
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- | 0.0037 | 4.0 | 188 | 5.0514 |
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- | 0.0042 | 5.0 | 235 | 5.0714 |
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- | 0.0068 | 6.0 | 282 | 5.0988 |
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- | 0.0094 | 7.0 | 329 | 5.1115 |
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- | 0.0175 | 8.0 | 376 | 5.1191 |
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- | 0.0263 | 9.0 | 423 | 5.1271 |
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- | 0.0544 | 10.0 | 470 | 5.1290 |
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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: 5.1300
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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: 7.8125e-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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0028 | 1.0 | 47 | 5.0854 |
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+ | 0.0026 | 2.0 | 94 | 5.0783 |
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+ | 0.0029 | 3.0 | 141 | 5.0790 |
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+ | 0.0032 | 4.0 | 188 | 5.0781 |
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+ | 0.0037 | 5.0 | 235 | 5.0880 |
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+ | 0.0061 | 6.0 | 282 | 5.1052 |
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+ | 0.0087 | 7.0 | 329 | 5.1157 |
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+ | 0.0164 | 8.0 | 376 | 5.1228 |
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+ | 0.0257 | 9.0 | 423 | 5.1287 |
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+ | 0.0543 | 10.0 | 470 | 5.1300 |
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  ### Framework versions
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