---
library_name: peft
license: other
base_model: Qwen/Qwen2.5-Coder-3B
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1720

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3062        | 0.9849 | 49   | 1.2361          |
| 1.2408        | 1.9849 | 98   | 1.2071          |
| 1.2022        | 2.9849 | 147  | 1.1921          |
| 1.1692        | 3.9849 | 196  | 1.1827          |
| 1.14          | 4.9849 | 245  | 1.1768          |
| 1.1199        | 5.9849 | 294  | 1.1735          |
| 1.0947        | 6.9849 | 343  | 1.1710          |
| 1.0815        | 7.9849 | 392  | 1.1709          |
| 1.0674        | 8.9849 | 441  | 1.1716          |
| 1.04          | 9.9849 | 490  | 1.1720          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0