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  This model is fine-tuned by [DGen](https://github.com/DRSY/DGen) dataset, which covers multiple domains including science, vocabulary, common sense and trivia. It is compiled from a wide variety of datasets including SciQ, MCQL, AI2 Science Questions, etc. The detail of DGen dataset is shown below.
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- | Number of questions | Train | Valid | Test |
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- | ------------------- | ----- | ----- | ----- |
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- | Middle school | 22056 | 3273 | 3198 |
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- | High school | 54794 | 7794 | 8318 |
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- | Total | 76850 | 11067 | 11516 |
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  You can also use the [dataset](https://github.com/AndyChiangSH/CDGP/blob/main/datasets/DGen.zip) we have already cleaned.
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  ## Training
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- We use a special way to fine-tune model, which is called **"Answer-Relating Fine-Tune"**. More detail is in our paper.
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  ### Training hyperparameters
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  This model is fine-tuned by [DGen](https://github.com/DRSY/DGen) dataset, which covers multiple domains including science, vocabulary, common sense and trivia. It is compiled from a wide variety of datasets including SciQ, MCQL, AI2 Science Questions, etc. The detail of DGen dataset is shown below.
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+ | DGen dataset | Train | Valid | Test | Total |
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+ | ------------------- | ----- | ----- | ---- | ----- |
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+ | **Number of questions** | 2321 | 300 | 259 | 2880 |
 
 
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  You can also use the [dataset](https://github.com/AndyChiangSH/CDGP/blob/main/datasets/DGen.zip) we have already cleaned.
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  ## Training
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+ We use a special way to fine-tune model, which is called **"Answer-Relating Fine-Tune"**. More details are in our paper.
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  ### Training hyperparameters
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