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gemma270-medical-dapt – AI Model by yasminekaced | AlphaNeural AI
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gemma270-medical-dapt
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transformers
safetensors
gemma3_text
text-generation
generated_from_trainer
google/gemma-3-270m
finetune
gemma
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gemma270-medical-dapt
This model is a fine-tuned version of
google/gemma-3-270m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9938
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: linear
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.5998
0.7582
1000
2.8980
2.3657
1.5163
2000
2.8932
2.1833
2.2745
3000
2.9254
2.1202
3.0326
4000
2.9899
2.0536
3.7908
5000
2.9938
Framework versions
Transformers 4.56.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
