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mistral-pdf-to-quizz-7b
fbellame/mistral-pdf-to-quizz-7b
mistral-pdf-to-quizz-7b is a machine learning model from fbellame. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 4, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Oct 28, 2023
- Updated
- Nov 4, 2023
- SHA
- 881dc8f7
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mistral-pdf-to-quizz-7b
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ.
Model description
-
Trained on 168 prompts that generate in order to generate a multiple question choices responses (https://huggingface.co/datasets/fbellame/pdf_to_quizz_mistral)
<s>[INST] 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 answer letter based on the document.\\n\\nExample question:\\n\\nQuestion: question here\\nCHOICE_A: choice here\\nCHOICE_B: choice here\\nCHOICE_C: choice here\\nCHOICE_D: choice here\\nAnswer: A or B or C or D\\n\\nThese questions should be detailed and solely based on the information provided in the document.\\n here are the inputs \\n{doc}\\n[/INST] doc=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. question: What was the cause of the strike at the University of Paris in 1229? choice_A: The King's interference in university affairs choice_B: A shortage of resources for the university choice_C: A disagreement between faculty members choice_D: The Quartier Latin being strongly hit by a natural disaster reponse: choice_B
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Oct 28, 2023
- Updated
- Nov 4, 2023