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