furniture_classification_qwen7b_2epoch

This model is a fine-tuned version of Qwen/Qwen2-VL-7B-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0479

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: 3e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.0609	0.4002	902	0.0602
0.0531	0.8004	1804	0.0532
0.0465	1.2005	2706	0.0478
0.0448	1.6007	3608	0.0479

Framework versions

• PEFT 0.14.0
• Transformers 4.47.1
• Pytorch 2.1.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0