End of training
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README.md
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This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the pquad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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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.
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- train_batch_size: 24
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- eval_batch_size:
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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.
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| 5.
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### Framework versions
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This model is a fine-tuned version of [makhataei/qa-persian-bert-fa-base-uncased](https://huggingface.co/makhataei/qa-persian-bert-fa-base-uncased) on the pquad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.2895
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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: 24
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- eval_batch_size: 24
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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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| 5.5083 | 1.0 | 2667 | 5.2895 |
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| 5.5053 | 2.0 | 5334 | 5.2895 |
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### Framework versions
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model.safetensors
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