---
license: apache-2.0
base_model: meta-math/MetaMath-Mistral-7B
tags:
- generated_from_trainer
model-index:
- name: math-mistral-7b-r32-e2
  results: []
---

<!-- 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. -->

# math-mistral-7b-r32-e2

This model is a fine-tuned version of [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4721

## 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: 4e-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2585        | 0.26  | 1000 | 0.4719          |
| 0.3487        | 0.52  | 2000 | 0.4713          |
| 0.4357        | 0.78  | 3000 | 0.4721          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.1