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mistral-mathqa-lora – AI Model by Kashmary | AlphaNeural AI
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Kashmary
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mistral-mathqa-lora
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peft
safetensors
llama-factory
lora
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
other
us
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Model description
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the \n [10th Math-I, 10th Math-II, 12th Math-I,12th Math-II] datasets in
https://github.com/sheikhshafayat/BEnQA
Notebooks
Trained using LLaMA-Factory \n Training Notebook:
https://colab.research.google.com/drive/1Muu_TP5qp09mAH6cBRnwpbxGPjKzYU8T?usp=sharing
\n Testing Notebook:
https://www.kaggle.com/code/anowersha/testing-kashmary-mistral-mathqa-lora
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
