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qa-persian-albert-fa-zwnj-base-v2

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Mar03_18-27-57_Software-AI/events.out.tfevents.1709477878.Software-AI.1548892.13 +3 -0
  4. training_args.bin +1 -1
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-albert-fa-zwnj-base-v2](https://huggingface.co/makhataei/qa-persian-albert-fa-zwnj-base-v2) on the parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 9.0659
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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: 0.000125
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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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- | 0.1396 | 1.0 | 44 | 6.4952 |
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- | 0.2093 | 2.0 | 88 | 5.5734 |
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- | 0.1084 | 3.0 | 132 | 8.0615 |
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- | 0.0503 | 4.0 | 176 | 8.9148 |
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- | 0.0484 | 5.0 | 220 | 8.6134 |
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- | 0.0054 | 6.0 | 264 | 8.7913 |
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- | 0.003 | 7.0 | 308 | 8.9350 |
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- | 0.0 | 8.0 | 352 | 9.0313 |
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- | 0.0 | 9.0 | 396 | 9.0613 |
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- | 0.0 | 10.0 | 440 | 9.0659 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [makhataei/qa-persian-albert-fa-zwnj-base-v2](https://huggingface.co/makhataei/qa-persian-albert-fa-zwnj-base-v2) on the parsinlu_reading_comprehension dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 8.4975
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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: 0.00025
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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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+ | 0.5155 | 1.0 | 44 | 4.5841 |
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+ | 0.6337 | 2.0 | 88 | 6.0796 |
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+ | 0.2904 | 3.0 | 132 | 7.2838 |
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+ | 0.2332 | 4.0 | 176 | 5.7577 |
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+ | 0.2269 | 5.0 | 220 | 6.6369 |
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+ | 0.046 | 6.0 | 264 | 6.4370 |
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+ | 0.1181 | 7.0 | 308 | 7.7005 |
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+ | 0.0315 | 8.0 | 352 | 7.4328 |
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+ | 0.0236 | 9.0 | 396 | 8.9249 |
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+ | 0.0143 | 10.0 | 440 | 8.4975 |
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  ### Framework versions
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