Saniya-s/vlm-mulkiya-extraction-v2-7b-new

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vlm-mulkiya-extraction-v2-7b-new

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: 0.0166

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: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.20.0
• —Transformers 5.15.1
• —Pytorch 2.13.0+cu130
• —Datasets 5.0.1
• —Tokenizers 0.22.2