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medsiglip-448-ft-crc100k – AI Model by kevinkwshin | AlphaNeural AI
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kevinkwshin
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medsiglip-448-ft-crc100k
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transformers
tensorboard
safetensors
siglip
zero-shot-image-classification
generated_from_trainer
imagefolder
google/medsiglip-448
finetune
other
endpoints_compatible
us
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Model card
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medsiglip-448-ft-crc100k
This model is a fine-tuned version of
google/medsiglip-448
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 1.4483
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
train_batch_size: 24
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 192
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
2.6176
1.064
50
1.4483
Framework versions
Transformers 4.57.3
Pytorch 2.7.1+cu126
Datasets 4.5.0
Tokenizers 0.22.1
