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medgemma-4b-v4 – AI Model by santoshtec146 | AlphaNeural AI
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medgemma-4b-v4
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peft
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unsloth
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unsloth/medgemma-4b-it
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medgemma-4b-v4
This model is a fine-tuned version of
unsloth/medgemma-4b-it
on an unknown 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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_bnb_8bit 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: 100
num_epochs: 2
Training results
Framework versions
PEFT 0.18.0
Transformers 4.57.2
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
