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medsiglip-448-ft-edv – AI Model by ShehabAnwer | AlphaNeural AI
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ShehabAnwer
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medsiglip-448-ft-edv
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transformers
tensorboard
safetensors
siglip
zero-shot-image-classification
generated_from_trainer
google/medsiglip-448
finetune
other
endpoints_compatible
us
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medsiglip-448-ft-edv
This model is a fine-tuned version of
google/medsiglip-448
on the None 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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2
