lamm-mit/qwen2.5-1.5b-diffusion-graph-canvas-inpainting-v1

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qwen2.5-1.5b-diffusion-graph-canvas-inpainting-v1

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.7547

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: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100.0
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 5.14.1
• —Pytorch 2.12.1+cu130
• —Datasets 4.8.5
• —Tokenizers 0.22.2