---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
- name: Model_Finetunned
  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. -->

# Model_Finetunned

This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3209

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.7664        | 0.9796 | 12   | 2.5081          |
| 2.2918        | 1.9592 | 24   | 2.1012          |
| 1.9284        | 2.9388 | 36   | 1.8079          |
| 1.5278        | 4.0    | 49   | 1.5725          |
| 1.4118        | 4.9796 | 61   | 1.3976          |
| 1.2716        | 5.9592 | 73   | 1.3459          |
| 1.2207        | 6.9388 | 85   | 1.3274          |
| 1.0976        | 8.0    | 98   | 1.3224          |
| 1.1685        | 8.9796 | 110  | 1.3208          |
| 1.0552        | 9.7959 | 120  | 1.3209          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1