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trained on hugging face math_dataset
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
datasets:
  - math_dataset
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: finetuneMistral-explanationMathData
    results: []

finetuneMistral-explanationMathData

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the math_dataset dataset.

Model description

More information needed

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 1000

Training results

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.0
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0