---
base_model: TheBloke/Llama-2-13B-chat-GPTQ
library_name: peft
license: llama2
tags:
- generated_from_trainer
model-index:
- name: qlora
  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. -->

# qlora

This model is a fine-tuned version of [TheBloke/Llama-2-13B-chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-13B-chat-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1030

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0135        | 0.9412 | 12   | 0.4043          |
| 0.145         | 1.9608 | 25   | 0.1342          |
| 0.0703        | 2.9804 | 38   | 0.1080          |
| 0.0531        | 4.0    | 51   | 0.1023          |
| 0.0532        | 4.9412 | 63   | 0.1040          |
| 0.0476        | 5.9608 | 76   | 0.1037          |
| 0.0459        | 6.9804 | 89   | 0.1028          |
| 0.0449        | 7.8431 | 100  | 0.1030          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1