README.md

---
license: mit
library_name: "trl"
tags:
- KTO
- WeniGPT
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: Weni/WeniGPT-QA-Zephyr-7B-5.0.1-KTO
  results: []
language: ['pt']
---

# Weni/WeniGPT-QA-Zephyr-7B-5.0.1-KTO

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1] on the dataset Weni/WeniGPT-QA-Binarized-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: WeniGPT Experiment using KTO trainer with no collator, Mixstral model and no system prompt.

It achieves the following results on the evaluation set:
{'eval_loss': 0.014605735428631306, 'eval_runtime': 1025.937, 'eval_samples_per_second': 0.476, 'eval_steps_per_second': 0.119, 'eval/rewards/chosen': 6.546164512634277, 'eval/rewards/rejected': -30.777591705322266, 'eval/kl': 0.25049710273742676, 'eval/logps/chosen': -129.4441375732422, 'eval/logps/rejected': -508.0271301269531, 'eval/rewards/margins': 37.32375621795654, 'epoch': 1.99}

## Intended uses & limitations

This model has not been trained to avoid specific intructions. 

## Training procedure

Finetuning was done on the model mistralai/Mixtral-8x7B-Instruct-v0.1 with the following prompt:

```
---------------------
Question:
<|user|>
Contexto: {context}

Questão: {question}</s>


---------------------
Response:
<|assistant|>
{response}</s>


---------------------

```

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- per_device_train_batch_size: 4
- per_device_eval_batch_size: 4
- gradient_accumulation_steps: 8
- num_gpus: 1
- total_train_batch_size: 32
- optimizer: AdamW
- lr_scheduler_type: cosine
- num_steps: 262
- quantization_type: bitsandbytes
- LoRA: ("\n  - bits: 4\n  - use_exllama: True\n  - device_map: auto\n  - use_cache: False\n  - lora_r: 16\n  - lora_alpha: 32\n  - lora_dropout: 0.05\n  - bias: none\n  - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']\n  - task_type: CAUSAL_LM",)

### Training results

### Framework versions

- transformers==4.39.1
- datasets==2.18.0
- peft==0.10.0
- safetensors==0.4.2
- evaluate==0.4.1
- bitsandbytes==0.43
- huggingface_hub==0.20.3
- seqeval==1.2.2
- optimum==1.17.1
- auto-gptq==0.7.1
- gpustat==1.1.1
- deepspeed==0.14.0
- wandb==0.16.3
- # trl==0.8.1
- git+https://github.com/claralp/trl.git@fix_nans#egg=trl
- accelerate==0.28.0
- coloredlogs==15.0.1
- traitlets==5.14.1
- autoawq@https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.0/autoawq-0.2.0+cu118-cp310-cp310-linux_x86_64.whl

### Hardware
- Cloud provided: runpod.io