---
library_name: peft
license: llama3
base_model: Eurdem/Defne_llama3_2x8B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c9503349-1e52-4cf6-9d18-e19e2b1ba638
  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>

# c9503349-1e52-4cf6-9d18-e19e2b1ba638

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: 1.1945

## 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        | 0.0002 | 1    | 1.4330          |
| 1.2281        | 0.0085 | 50   | 1.2456          |
| 1.3016        | 0.0170 | 100  | 1.3395          |
| 1.1985        | 0.0255 | 150  | 1.2455          |
| 1.2808        | 0.0340 | 200  | 1.3786          |
| 1.2372        | 0.0424 | 250  | 1.2279          |
| 1.285         | 0.0509 | 300  | 1.2770          |
| 1.1768        | 0.0594 | 350  | 1.2068          |
| 1.2147        | 0.0679 | 400  | 1.2110          |
| 1.2383        | 0.0764 | 450  | 1.1963          |
| 1.2776        | 0.0849 | 500  | 1.1945          |


### Framework versions

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