---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 5663e6cc-de8d-4ea7-87d4-be498fce4d0e
  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>

# 5663e6cc-de8d-4ea7-87d4-be498fce4d0e

This model is a fine-tuned version of [katuni4ka/tiny-random-qwen1.5-moe](https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.7402

## 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: 60
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
- training_steps: 9000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0003 | 1    | 11.9364         |
| 11.7934       | 0.1516 | 500  | 11.7890         |
| 11.7818       | 0.3033 | 1000 | 11.7749         |
| 11.7769       | 0.4549 | 1500 | 11.7676         |
| 11.772        | 0.6066 | 2000 | 11.7620         |
| 11.7681       | 0.7582 | 2500 | 11.7579         |
| 11.76         | 0.9098 | 3000 | 11.7542         |
| 11.7532       | 1.0615 | 3500 | 11.7502         |
| 11.774        | 1.2131 | 4000 | 11.7484         |
| 11.7583       | 1.3648 | 4500 | 11.7457         |
| 11.7423       | 1.5164 | 5000 | 11.7446         |
| 11.7536       | 1.6681 | 5500 | 11.7429         |
| 11.7444       | 1.8197 | 6000 | 11.7420         |
| 11.753        | 1.9713 | 6500 | 11.7410         |
| 11.7538       | 2.1230 | 7000 | 11.7406         |
| 11.7483       | 2.2746 | 7500 | 11.7404         |
| 11.7539       | 2.4263 | 8000 | 11.7401         |
| 11.7568       | 2.5779 | 8500 | 11.7402         |
| 11.7279       | 2.7295 | 9000 | 11.7402         |


### Framework versions

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