---
library_name: peft
license: llama3
base_model: unsloth/llama-3-8b-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4e981743-2631-4bbc-bbd3-c206d153db88
  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>

# 4e981743-2631-4bbc-bbd3-c206d153db88

This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct](https://huggingface.co/unsloth/llama-3-8b-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1732

## 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: 0.000211
- 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        | 0.0000 | 1    | 1.8842          |
| 1.3818        | 0.0008 | 50   | 1.3631          |
| 1.5215        | 0.0015 | 100  | 1.3458          |
| 1.3823        | 0.0023 | 150  | 1.3206          |
| 1.3505        | 0.0030 | 200  | 1.3038          |
| 1.3068        | 0.0038 | 250  | 1.2655          |
| 1.4312        | 0.0045 | 300  | 1.2388          |
| 1.2387        | 0.0053 | 350  | 1.1994          |
| 1.2386        | 0.0060 | 400  | 1.1871          |
| 1.2862        | 0.0068 | 450  | 1.1761          |
| 1.2417        | 0.0075 | 500  | 1.1732          |


### Framework versions

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