---
library_name: peft
license: llama3.1
base_model: unsloth/Meta-Llama-3.1-8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3b40a4dc-1423-4d79-b062-e0c34207bc16
  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>

# 3b40a4dc-1423-4d79-b062-e0c34207bc16

This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7449

## 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: 0.000207
- 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        | 0.0002 | 1    | 2.0999          |
| 1.8971        | 0.0086 | 50   | 2.2067          |
| 1.9011        | 0.0171 | 100  | 2.1730          |
| 1.8564        | 0.0257 | 150  | 2.1025          |
| 1.8887        | 0.0342 | 200  | 2.0264          |
| 1.9849        | 0.0428 | 250  | 1.9379          |
| 1.7837        | 0.0513 | 300  | 1.8692          |
| 1.6724        | 0.0599 | 350  | 1.8100          |
| 1.7941        | 0.0684 | 400  | 1.7638          |
| 1.6998        | 0.0770 | 450  | 1.7481          |
| 1.7282        | 0.0855 | 500  | 1.7449          |


### Framework versions

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