---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
datasets:
- CAS-SIAT-ConsistencyAI/CoEvol
language:
- en
---

# CoEvol-Mixtral_Mistral-7B-v0.1_SFT

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the [coevol-mixtral_multi_deita6k](https://huggingface.co/datasets/CAS-SIAT-ConsistencyAI/CoEvol/blob/main/coevol-mixtral_multi_deita6k.json) 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0

### Training results



### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2