---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/LLaMA-Pro-8B-Instruct-GPTQ
model-index:
- name: LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LLaMA-Pro-8B-Instruct-GPTQ_1200steps_constant

This model is a fine-tuned version of [TheBloke/LLaMA-Pro-8B-Instruct-GPTQ](https://huggingface.co/TheBloke/LLaMA-Pro-8B-Instruct-GPTQ) on the None 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- training_steps: 1200

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0a0+32f93b1
- Datasets 2.16.1
- Tokenizers 0.15.0