---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-4B-Instruct-2507
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# appworld_distillation_sft-SFT-Qwen3-4B-Instruct-2507

This model is a fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) on the appworld_distillation_sft dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2588

## 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use adamw_torch 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: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9102        | 1.0   | 2    | 0.8434          |
| 0.6723        | 2.0   | 4    | 0.4704          |
| 0.3556        | 3.0   | 6    | 0.3564          |
| 0.3261        | 4.0   | 8    | 0.3239          |
| 0.2697        | 5.0   | 10   | 0.2971          |
| 0.2508        | 6.0   | 12   | 0.2797          |
| 0.225         | 7.0   | 14   | 0.2676          |
| 0.2327        | 8.0   | 16   | 0.2617          |
| 0.2064        | 9.0   | 18   | 0.2594          |
| 0.22          | 10.0  | 20   | 0.2588          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1