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medgemma-finetuned-wb – AI Model by roshbeed | AlphaNeural AI | AlphaNeural AI
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medgemma-finetuned-wb
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medgemma-finetuned-wb
This model is a fine-tuned version of
google/medgemma-4b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6942
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
2
2.1126
No log
2.0
4
1.9303
No log
3.0
6
1.7485
Framework versions
PEFT 0.18.0
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
