---
license: other
base_model: TencentARC/Mistral_Pro_8B_v0.1
tags:
- generated_from_trainer
model-index:
- name: sft-4e-exp2
  results: []
---

# sft-4e-exp2

This model is an experimental fine-tuned version of [TencentARC/Mistral_Pro_8B_v0.1](https://huggingface.co/TencentARC/Mistral_Pro_8B_v0.1).

This model is intended for safety research only.

## 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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results


| arc (25) | hellaswag (10) | mmlu (5) | truthfulqa_mc (20) | winogrande | gsm8k (exact) | avg (exact) |
|:--------:|:--------------:|:--------:|:------------------:|:----------:|:-------------:|:-----------:|
|  0.6305  |     0.8413     |  0.6041  |       0.5535       |   0.7624   |    0.5754     |   0.6612    |

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0

### License
This version is to be used for non-commercial research purposes only. We will release open models after we have finished training and evaluations.