---
library_name: peft
license: llama3
base_model: Orenguteng/Llama-3-8B-Lexi-Uncensored
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4d8a83c6-b15c-4324-9571-2f06a1409031
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<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>

# 4d8a83c6-b15c-4324-9571-2f06a1409031

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: 1.8171

## 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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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        | 0.0006 | 1    | 2.7084          |
| 1.9311        | 0.0284 | 50   | 2.3252          |
| 2.0342        | 0.0569 | 100  | 2.5893          |
| 2.1179        | 0.0853 | 150  | 2.5301          |
| 1.8545        | 0.1137 | 200  | 2.2152          |
| 2.114         | 0.1421 | 250  | 2.1017          |
| 1.8763        | 0.1706 | 300  | 2.0436          |
| 1.8018        | 0.1990 | 350  | 1.9168          |
| 1.8091        | 0.2274 | 400  | 1.8501          |
| 2.0217        | 0.2558 | 450  | 1.8225          |
| 1.707         | 0.2843 | 500  | 1.8171          |


### Framework versions

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