---
library_name: peft
license: llama3
base_model: Orenguteng/Llama-3-8B-Lexi-Uncensored
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 234de95a-352d-4a70-b496-8cbc55e31388
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<br>

# 234de95a-352d-4a70-b496-8cbc55e31388

This model is a fine-tuned version of [Orenguteng/Llama-3-8B-Lexi-Uncensored](https://huggingface.co/Orenguteng/Llama-3-8B-Lexi-Uncensored) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4129

## 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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0000 | 1    | 2.8058          |
| 2.5305        | 0.0020 | 50   | 2.5678          |
| 2.5086        | 0.0040 | 100  | 2.5354          |
| 2.4889        | 0.0060 | 150  | 2.5138          |
| 2.6504        | 0.0080 | 200  | 2.5272          |
| 2.5837        | 0.0100 | 250  | 2.5475          |
| 2.5573        | 0.0120 | 300  | 2.4923          |
| 2.4235        | 0.0140 | 350  | 2.4377          |
| 2.6366        | 0.0160 | 400  | 2.4177          |
| 2.4536        | 0.0180 | 450  | 2.4135          |
| 2.4976        | 0.0200 | 500  | 2.4129          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1