LoRA_Qwen2.5_VL_7B

klrq/LoRA_Qwen2.5_VL_7B

LoRA_Qwen2.5_VL_7B is a machine learning model from klrq. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jul 18, 2025
Updated: Jul 18, 2025
SHA: 532c5281

Base models

Qwen/Qwen2.5-VL-7B-Instruct

Model card

From the Hugging Face model README

LoRA_Qwen2.5_VL_7B

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 11.4655

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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_ratio: 0.3
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
105.8979	1.0	326	14.2342
84.6187	2.0	652	11.4655

Framework versions

PEFT 0.15.2
Transformers 4.53.0.dev0
Pytorch 2.7.1+cu118
Tokenizers 0.21.1

Library: peft
License: apache-2.0
Created: Jul 18, 2025
Updated: Jul 18, 2025