---
library_name: peft
base_model: NousResearch/Yarn-Llama-2-13b-128k
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e98fb5bf-8048-49ba-9174-770aa41afffc
  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>

# e98fb5bf-8048-49ba-9174-770aa41afffc

This model is a fine-tuned version of [NousResearch/Yarn-Llama-2-13b-128k](https://huggingface.co/NousResearch/Yarn-Llama-2-13b-128k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008

## 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: 463

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0022 | 1    | 0.1187          |
| 0.0183        | 0.1080 | 50   | 0.0119          |
| 0.016         | 0.2160 | 100  | 0.0282          |
| 0.0108        | 0.3240 | 150  | 0.0076          |
| 0.0051        | 0.4320 | 200  | 0.0169          |
| 0.0031        | 0.5400 | 250  | 0.0031          |
| 0.0003        | 0.6479 | 300  | 0.0020          |
| 0.0029        | 0.7559 | 350  | 0.0015          |
| 0.0023        | 0.8639 | 400  | 0.0009          |
| 0.0003        | 0.9719 | 450  | 0.0008          |


### Framework versions

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