---
library_name: peft
license: apache-2.0
base_model: llamafactory/tiny-random-Llama-3
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 2ee471fa-5349-4340-817e-5395360919aa
  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>

# 2ee471fa-5349-4340-817e-5395360919aa

This model is a fine-tuned version of [llamafactory/tiny-random-Llama-3](https://huggingface.co/llamafactory/tiny-random-Llama-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.7298

## 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: 0.000203
- 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        | 0.0012 | 1    | 11.7627         |
| 11.7389       | 0.0583 | 50   | 11.7467         |
| 11.7342       | 0.1166 | 100  | 11.7423         |
| 11.7273       | 0.1749 | 150  | 11.7390         |
| 11.7255       | 0.2332 | 200  | 11.7358         |
| 11.7252       | 0.2915 | 250  | 11.7343         |
| 11.7254       | 0.3499 | 300  | 11.7325         |
| 11.7232       | 0.4082 | 350  | 11.7314         |
| 11.7211       | 0.4665 | 400  | 11.7303         |
| 11.7233       | 0.5248 | 450  | 11.7301         |
| 11.7215       | 0.5831 | 500  | 11.7298         |


### Framework versions

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