poornanandnaik24/medsiglip-448-ft-crc100k-v3

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medsiglip-448-ft-crc100k-v3

This model is a fine-tuned version of google/medsiglip-448 on the imagefolder dataset. It achieves the following results on the evaluation set:

• —eval_loss: 1.0182
• —eval_runtime: 49.7598
• —evalsamplesper_second: 1.206
• —evalstepsper_second: 0.603
• —epoch: 1.45
• —step: 145

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: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —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: 2

Framework versions

• —Transformers 4.57.3
• —Pytorch 2.7.1+cu118
• —Datasets 4.4.1
• —Tokenizers 0.22.1