trl safetensors DPO pt base_model:Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT license:mit region:us
---
license: mit
library_name: "trl"
tags:
- DPO
- DPO
base_model: Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT
model-index:
- name: Weni/WeniGPT-2.5.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation
  results: []
language: ['pt']
---

# Weni/WeniGPT-2.5.3-Zephyr-7B-zephyr-prompt-LLM_Base_2.0.3_DPO_reduction_variation

This model is a fine-tuned version of [Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT] on the dataset Weni/LLM_Base_2.0.3_DPO with the DPO trainer. It is part of the DPO project for [Weni](https://weni.ai/).

It achieves the following results on the evaluation set:
{'eval_loss': 0.6931472420692444, 'eval_runtime': 173.8803, 'eval_samples_per_second': 2.824, 'eval_steps_per_second': 1.415, 'eval_rewards/chosen': 0.0, 'eval_rewards/rejected': 0.0, 'eval_rewards/accuracies': 0.0, 'eval_rewards/margins': 0.0, 'eval_logps/rejected': -204.64605712890625, 'eval_logps/chosen': -64.2483901977539, 'eval_logits/rejected': -2.031214475631714, 'eval_logits/chosen': -1.649370789527893, 'epoch': 0.0}

## Intended uses & limitations

This model has not been trained to avoid specific intructions. 

## Training procedure

Finetuning was done on the model Weni/WeniGPT-2.2.3-Zephyr-7B-merged-LLM_Base_2.0.3_SFT with the following prompt:

```
Question:
<|user|>{question}</s>


Chosen:
<|assistant|>{correct_ans}</s>


Rejected:
<|assistant|>{rejected_ans}</s>
```

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- per_device_train_batch_size: 8
- per_device_eval_batch_size: 2
- gradient_accumulation_steps: 2
- num_gpus: 1
- total_train_batch_size: 16
- optimizer: AdamW
- lr_scheduler_type: cosine
- num_steps: 1
- quantization_type: bitsandbytes
- LoRA: ("\n  - bits: 4\n  - use_exllama: True\n  - device_map: auto\n  - use_cache: False\n  - lora_r: 8\n  - lora_alpha: 16\n  - lora_dropout: 0.1\n  - bias: none\n  - target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']\n  - task_type: CAUSAL_LM",)

### Training results

### Framework versions

- git+https://github.com/huggingface/transformers@main
- datasets==2.17.1
- peft==0.8.2
- safetensors==0.4.2
- evaluate==0.4.1
- bitsandbytes==0.42
- huggingface_hub==0.20.3
- seqeval==1.2.2
- optimum==1.17.1
- auto-gptq==0.7.0
- gpustat==1.1.1
- deepspeed==0.13.2
- wandb==0.16.3
- git+https://github.com/huggingface/trl.git@main
- git+https://github.com/huggingface/accelerate.git@main
- 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
