---
library_name: peft
base_model: katuni4ka/tiny-random-qwen1.5-moe
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 19a329a8-227f-4403-a594-52afbc5112e0
  results: []
---

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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>

# 19a329a8-227f-4403-a594-52afbc5112e0

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: 11.7371

## 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: 0.000204
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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        | 0.0000 | 1    | 11.9361         |
| 11.8371       | 0.0023 | 50   | 11.8614         |
| 11.6776       | 0.0047 | 100  | 11.7952         |
| 11.6579       | 0.0070 | 150  | 11.7724         |
| 11.6215       | 0.0094 | 200  | 11.7545         |
| 11.6344       | 0.0117 | 250  | 11.7462         |
| 11.6119       | 0.0141 | 300  | 11.7422         |
| 11.6267       | 0.0164 | 350  | 11.7389         |
| 11.6046       | 0.0188 | 400  | 11.7379         |
| 11.6064       | 0.0211 | 450  | 11.7372         |
| 11.5978       | 0.0235 | 500  | 11.7371         |


### Framework versions

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