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update model card README.md

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@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # GPT2-qa
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 10
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- - eval_batch_size: 10
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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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  - num_epochs: 3
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  ### Framework versions
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  - Transformers 4.25.1
 
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  # GPT2-qa
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  This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.2957
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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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  - num_epochs: 3
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 4.1563 | 1.0 | 30926 | 4.6165 |
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+ | 3.7545 | 2.0 | 61852 | 3.9101 |
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+ | 3.3745 | 3.0 | 92778 | 4.2957 |
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+
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  ### Framework versions
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  - Transformers 4.25.1