---
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2-1.5B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 2633c5c4-0396-4f8a-a5ec-df27508e79f2
  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>

# 2633c5c4-0396-4f8a-a5ec-df27508e79f2

This model is a fine-tuned version of [unsloth/Qwen2-1.5B-Instruct](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0544

## 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: 0.000206
- 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        | 0.0008 | 1    | 1.1879          |
| 1.0481        | 0.0410 | 50   | 1.1445          |
| 1.0289        | 0.0821 | 100  | 1.1724          |
| 1.0706        | 0.1231 | 150  | 1.1269          |
| 0.9754        | 0.1641 | 200  | 1.1136          |
| 1.1411        | 0.2052 | 250  | 1.0916          |
| 1.0608        | 0.2462 | 300  | 1.0737          |
| 1.0404        | 0.2872 | 350  | 1.0615          |
| 0.9828        | 0.3283 | 400  | 1.0560          |
| 0.9821        | 0.3693 | 450  | 1.0554          |
| 1.0891        | 0.4103 | 500  | 1.0544          |


### Framework versions

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