Qwen3.5-9B-eSFT

zhengbang0707/Qwen3.5-9B-eSFT

Qwen3.5-9B-eSFT is a image-text-to-text model from zhengbang0707. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image-Text-to-Text
Library: transformers
License: other
Model type: qwen3_5
Access: Public
Created: Jul 8, 2026
Updated: Jul 8, 2026
SHA: 2e191dfb

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Base models

Qwen/Qwen3.5-9B

Model card

From the Hugging Face model README

Qwen3.5-9B-full-eSFT

This model is a fine-tuned version of Qwen/Qwen3.5-9B on the vlguard_Qwen3.5-9B_eSFT dataset. It achieves the following results on the evaluation set:

Loss: 1.1175

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 128
total_train_batch_size: 256
total_eval_batch_size: 2
optimizer: Use OptimizerNames.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_steps: 0.03
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.8568	3.0	24	1.1175

Framework versions

Transformers 5.6.0
Pytorch 2.5.1+cu121
Datasets 4.0.0
Tokenizers 0.22.2

Task: Image-Text-to-Text
Library: transformers
Type: qwen3_5
License: other
Created: Jul 8, 2026
Updated: Jul 8, 2026