---
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- siqi00/mistral_metamath_question_0.7_1.0_50_256
model-index:
- name: MetaMath-Mistral-7B-DFT2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MetaMath-Mistral-7B-DFT2

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the siqi00/mistral_metamath_question_0.7_1.0_50_256 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: 8e-07
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.45.2
- Pytorch 2.1.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3