---
library_name: peft
license: llama3
base_model: Eurdem/Defne_llama3_2x8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 05a9f7dd-900b-4001-b2ea-acd57578d12c
  results: []
---

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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>

# 05a9f7dd-900b-4001-b2ea-acd57578d12c

This model is a fine-tuned version of [Eurdem/Defne_llama3_2x8B](https://huggingface.co/Eurdem/Defne_llama3_2x8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5818

## 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: 0.000206
- 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        | 0.0003 | 1    | 2.4653          |
| 1.8497        | 0.0142 | 50   | 1.8087          |
| 1.8626        | 0.0284 | 100  | 2.0875          |
| 1.7585        | 0.0426 | 150  | 1.7172          |
| 1.503         | 0.0568 | 200  | 2.5064          |
| 1.9315        | 0.0711 | 250  | 1.7083          |
| 1.6444        | 0.0853 | 300  | 2.0619          |
| 1.8748        | 0.0995 | 350  | 1.6251          |
| 1.8836        | 0.1137 | 400  | 1.6406          |
| 1.9295        | 0.1279 | 450  | 1.5842          |
| 2.1817        | 0.1421 | 500  | 1.5818          |


### Framework versions

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