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--- |
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license: apache-2.0 |
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base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mistral-pdf-to-quizz-7b |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mistral-pdf-to-quizz-7b |
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the None dataset. |
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## Model description |
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- Trained on 168 prompts that generate in order to generate a multiple question choices responses (https://huggingface.co/datasets/fbellame/pdf_to_quizz_mistral_7B) |
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``` |
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You are a teacher preparing questions for a quiz. Given the following document, please generate 1 multiple-choice questions (MCQs) with 4 options and a corresponding |
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answer letter based on the document. |
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Example question: |
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Question: question here |
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CHOICE_A: choice here |
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CHOICE_B: choice here |
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CHOICE_C: choice here |
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CHOICE_D: choice here |
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Answer: A or B or C or D |
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These questions should be detailed and solely based on the information provided in the document. |
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<Begin Document> |
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In 1229, the King had to struggle with a long lasting strike at the University of Paris. The Quartier Latin was strongly hit by these strikes. |
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<End Document>" |
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question: What was the cause of the strike at the University of Paris in 1229? |
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A: The King's interference in university affairs |
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B: A shortage of resources for the university |
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C: A disagreement between faculty members |
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D: The Quartier Latin being strongly hit by a natural disaster |
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reponse: B |
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``` |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: cosine |
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- training_steps: 600 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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