---
library_name: transformers
license: other
base_model: InfiX-ai/InfiGUI-G1-3B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
  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

This model is a fine-tuned version of [InfiX-ai/InfiGUI-G1-3B](https://huggingface.co/InfiX-ai/InfiGUI-G1-3B) on the and_ctrl_skt dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1624

## 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: 4
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 48
- total_train_batch_size: 768
- total_eval_batch_size: 4
- optimizer: Use 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: 5.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2532        | 1.1120 | 100  | 0.2310          |
| 0.1713        | 2.2239 | 200  | 0.1800          |
| 0.1178        | 3.3359 | 300  | 0.1559          |
| 0.0765        | 4.4479 | 400  | 0.1624          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.5.0a0+b465a5843b.nv24.09
- Datasets 3.0.1
- Tokenizers 0.22.1