vl_finetuned_model

Navyandsu/vl_finetuned_model

vl_finetuned_model is a machine learning model from Navyandsu. 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: Apr 9, 2025
Updated: May 12, 2025
SHA: f31e88f3

Base models

Qwen/Qwen2-VL-7B-Instruct

Model card

From the Hugging Face model README

vl_finetuned_model

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

Loss: 0.5420

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
0.7138	1.6	100	0.7499
0.5414	3.2	200	0.5696
0.4876	4.8	300	0.5466
0.5278	6.4	400	0.5430
0.4783	8.0	500	0.5420

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Library: peft
License: apache-2.0
Created: Apr 9, 2025
Updated: May 12, 2025