---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 3838a51b-0133-48f9-9615-bfd2e48c9d48
  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>

# 3838a51b-0133-48f9-9615-bfd2e48c9d48

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: 11.5435

## 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: 0.000209
- train_batch_size: 4
- eval_batch_size: 4
- seed: 90
- 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    | 11.9301         |
| 11.6397       | 0.1437 | 500  | 11.6333         |
| 11.6184       | 0.2875 | 1000 | 11.6053         |
| 11.5982       | 0.4312 | 1500 | 11.5863         |
| 11.5901       | 0.5749 | 2000 | 11.5739         |
| 11.585        | 0.7186 | 2500 | 11.5655         |
| 11.5789       | 0.8624 | 3000 | 11.5599         |
| 11.6416       | 1.0061 | 3500 | 11.5548         |
| 11.5702       | 1.1498 | 4000 | 11.5518         |
| 11.5693       | 1.2936 | 4500 | 11.5500         |
| 11.5647       | 1.4373 | 5000 | 11.5480         |
| 11.5669       | 1.5810 | 5500 | 11.5469         |
| 11.5674       | 1.7248 | 6000 | 11.5459         |
| 11.5629       | 1.8685 | 6500 | 11.5448         |
| 11.6249       | 2.0122 | 7000 | 11.5443         |
| 11.5669       | 2.1559 | 7500 | 11.5441         |
| 11.562        | 2.2997 | 8000 | 11.5435         |
| 11.5595       | 2.4434 | 8500 | 11.5435         |
| 11.5535       | 2.5871 | 9000 | 11.5435         |


### Framework versions

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