Toonies/medsiglip-448-ft-crc100k

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medsiglip-448-ft-crc100k

This model is a fine-tuned version of google/medsiglip-448 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1090

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: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 5
• —num_epochs: 12

Training results

Framework versions

• —Transformers 4.56.0.dev0
• —Pytorch 2.7.1+cu126
• —Datasets 4.0.0
• —Tokenizers 0.21.4