wonwonn/diversity_slide_window_adapter

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Qwen2.5-VL-7B-diversifier

This model is a fine-tuned version of Qwen/Qwen2.5-VL-7B-Instruct on the pc-agent-e-diversifier-sliding_window dataset.

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-06
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.05
• —num_epochs: 2

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.2.0
• —Pytorch 2.6.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.2