---
library_name: peft
base_model: NousResearch/Yarn-Llama-2-7b-64k
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 09da2b92-cb46-444d-93a0-8ca82cf3071b
  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>

# 09da2b92-cb46-444d-93a0-8ca82cf3071b

This model is a fine-tuned version of [NousResearch/Yarn-Llama-2-7b-64k](https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4395

## 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: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0001 | 1    | 1.9391          |
| 3.2203        | 0.0042 | 50   | 1.6106          |
| 3.357         | 0.0083 | 100  | 1.6544          |
| 3.2823        | 0.0125 | 150  | 1.6403          |
| 3.3158        | 0.0167 | 200  | 1.5910          |
| 3.1395        | 0.0208 | 250  | 1.5721          |
| 3.1858        | 0.0250 | 300  | 1.5131          |
| 3.3376        | 0.0292 | 350  | 1.4698          |
| 3.0556        | 0.0334 | 400  | 1.4484          |
| 3.2623        | 0.0375 | 450  | 1.4412          |
| 3.2508        | 0.0417 | 500  | 1.4395          |


### Framework versions

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