---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 25cadc3c-ac7e-4bda-b89a-9557c9c25363
  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>

# 25cadc3c-ac7e-4bda-b89a-9557c9c25363

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: 11.6837

## 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: 0.000208
- train_batch_size: 4
- eval_batch_size: 4
- seed: 80
- 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         |
| 11.9011       | 0.0100 | 50   | 11.8831         |
| 11.8342       | 0.0200 | 100  | 11.8398         |
| 11.7711       | 0.0299 | 150  | 11.7947         |
| 11.653        | 0.0399 | 200  | 11.7309         |
| 11.5869       | 0.0499 | 250  | 11.7058         |
| 11.5578       | 0.0599 | 300  | 11.6941         |
| 11.555        | 0.0699 | 350  | 11.6881         |
| 11.5242       | 0.0798 | 400  | 11.6847         |
| 11.4812       | 0.0898 | 450  | 11.6838         |
| 11.5104       | 0.0998 | 500  | 11.6837         |


### Framework versions

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