---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 1f140cc0-8ab6-497b-b951-0e8bcc772491
  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>

# 1f140cc0-8ab6-497b-b951-0e8bcc772491

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: 11.7416

## 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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 110
- 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         |
| 11.7938       | 0.1516 | 500  | 11.7862         |
| 11.7802       | 0.3033 | 1000 | 11.7740         |
| 11.7721       | 0.4549 | 1500 | 11.7675         |
| 11.771        | 0.6066 | 2000 | 11.7623         |
| 11.7686       | 0.7582 | 2500 | 11.7571         |
| 11.7635       | 0.9098 | 3000 | 11.7530         |
| 11.7783       | 1.0615 | 3500 | 11.7503         |
| 11.749        | 1.2131 | 4000 | 11.7483         |
| 11.7695       | 1.3648 | 4500 | 11.7463         |
| 11.7511       | 1.5164 | 5000 | 11.7456         |
| 11.7489       | 1.6681 | 5500 | 11.7442         |
| 11.7429       | 1.8197 | 6000 | 11.7433         |
| 11.7575       | 1.9713 | 6500 | 11.7425         |
| 11.7575       | 2.1230 | 7000 | 11.7422         |
| 11.7637       | 2.2746 | 7500 | 11.7419         |
| 11.7554       | 2.4263 | 8000 | 11.7417         |
| 11.7528       | 2.5779 | 8500 | 11.7416         |
| 11.7544       | 2.7295 | 9000 | 11.7416         |


### Framework versions

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