---
license: apache-2.0
base_model: TheBloke/MetaMath-Mistral-7B-GPTQ
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mistral-MetaMath-camel_math
  results: []
pipeline_tag: text-generation
---

<!-- 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. -->

# Mistral-MetaMath-camel_math

This model is a fine-tuned version of [TheBloke/MetaMath-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/MetaMath-Mistral-7B-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5238

## 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: 0.0001
- 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: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.3858        | 0.4   | 40   | 5.3966          |
| 5.1759        | 0.8   | 80   | 5.0450          |
| 4.5           | 1.2   | 120  | 4.7109          |
| 4.7549        | 1.6   | 160  | 4.5588          |
| 3.6274        | 2.0   | 200  | 4.5238          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0