furniture_classification_qwen7b_2epoch – AI Model by alliumai | AlphaNeural AI

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furniture_classification_qwen7b_2epoch

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Qwen/Qwen2-VL-7B-Instruct

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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