---
license: other
library_name: peft
tags:
- generated_from_trainer
base_model: vilm/vietcuna-3b
model-index:
- name: khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# khanhdhq/finetune_vietcuna_3b_qlora_e1_lr0.0002

This model is a fine-tuned version of [vilm/vietcuna-3b](https://huggingface.co/vilm/vietcuna-3b) on an unknown dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
### Training hyperparameters

The following hyperparameters were used during training:

### Training results



### Framework versions

- PEFT 0.4.0.dev0
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3