---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: b4eecd4f-1bd8-41bf-81ec-baf237aa16d7
  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>

# b4eecd4f-1bd8-41bf-81ec-baf237aa16d7

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: 11.6879

## 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: 0.000201
- train_batch_size: 4
- eval_batch_size: 4
- seed: 10
- 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        | 0.0002 | 1    | 11.9445         |
| 11.8991       | 0.0100 | 50   | 11.8800         |
| 11.8379       | 0.0200 | 100  | 11.8417         |
| 11.7772       | 0.0299 | 150  | 11.7982         |
| 11.6699       | 0.0399 | 200  | 11.7403         |
| 11.5849       | 0.0499 | 250  | 11.7134         |
| 11.5688       | 0.0599 | 300  | 11.6989         |
| 11.5485       | 0.0699 | 350  | 11.6922         |
| 11.5111       | 0.0798 | 400  | 11.6887         |
| 11.488        | 0.0898 | 450  | 11.6880         |
| 11.5079       | 0.0998 | 500  | 11.6879         |


### Framework versions

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