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

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: 0.0085

## 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.007         | 0.3397 | 92   | 0.0101          |
| 0.0078        | 0.6794 | 184  | 0.0117          |
| 0.0027        | 1.0185 | 276  | 0.0084          |
| 0.0084        | 1.3581 | 368  | 0.0087          |
| 0.0061        | 1.6978 | 460  | 0.0078          |
| 0.0037        | 2.0369 | 552  | 0.0077          |
| 0.0027        | 2.3766 | 644  | 0.0085          |
| 0.0041        | 2.7163 | 736  | 0.0085          |


### Framework versions

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