---
library_name: transformers
license: other
base_model: Qwen/Qwen3-4B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft_base
  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. -->

# sft_base

This model is a fine-tuned version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) on the sunny_reasoning dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0087

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- total_eval_batch_size: 2
- 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_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0056        | 0.1698 | 92   | 0.0098          |
| 0.0115        | 0.3397 | 184  | 0.0107          |
| 0.015         | 0.5095 | 276  | 0.0094          |
| 0.0082        | 0.6794 | 368  | 0.0104          |
| 0.0094        | 0.8492 | 460  | 0.0095          |
| 0.0038        | 1.0185 | 552  | 0.0086          |
| 0.0029        | 1.1883 | 644  | 0.0095          |
| 0.01          | 1.3581 | 736  | 0.0082          |
| 0.0019        | 1.5280 | 828  | 0.0081          |
| 0.0045        | 1.6978 | 920  | 0.0080          |
| 0.0091        | 1.8677 | 1012 | 0.0077          |
| 0.0057        | 2.0369 | 1104 | 0.0081          |
| 0.0006        | 2.2068 | 1196 | 0.0086          |
| 0.0075        | 2.3766 | 1288 | 0.0088          |
| 0.0065        | 2.5464 | 1380 | 0.0087          |
| 0.0084        | 2.7163 | 1472 | 0.0087          |
| 0.0027        | 2.8861 | 1564 | 0.0087          |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.11.0+cu128
- Datasets 3.0.0
- Tokenizers 0.22.2