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  # Model Card for Model ID and Description
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  This model have been fine-tuned using Gemma_2b_en. The data train on is a syntetic 253 QA pair generated from wide topics of geoscience in ChatGPT.
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- The model perform well with a nbre of epoch =75. So the training is availaible on my repo [coming soon]
 
 
 
 
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  The general idea is to have a bot which assess geoscience student assessment as fast as possible with the resulting of either a pass or fail.
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  So, if an exam is submitted, the bot will report student and predicted answers as well as the evaluation/metric between the two.
 
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  # Model Card for Model ID and Description
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  This model have been fine-tuned using Gemma_2b_en. The data train on is a syntetic 253 QA pair generated from wide topics of geoscience in ChatGPT.
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+ The model perform well with a nbre of epoch =75. So the training is availaible on my kaggle repo:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66d9cc4b75b3337a8532ed56/-WSeP07VwELvX1SGIlCMW.png) or my github repo
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66d9cc4b75b3337a8532ed56/Dmrey9DCRFL4srpQqNuQM.png)
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  The general idea is to have a bot which assess geoscience student assessment as fast as possible with the resulting of either a pass or fail.
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  So, if an exam is submitted, the bot will report student and predicted answers as well as the evaluation/metric between the two.