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medgemma-4b-prod – AI Model by santoshtec146 | AlphaNeural AI
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medgemma-4b-prod
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peft
tensorboard
safetensors
generated_from_trainer
google/medgemma-4b-it
adapter
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medgemma-4b-prod
This model is a fine-tuned version of
google/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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Framework versions
PEFT 0.13.2
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 2.19.1
Tokenizers 0.22.1
