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---
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 |