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Modelo-Treinado-Gemma3-Numerico – AI Model by alexiaassis | AlphaNeural AI
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alexiaassis
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Modelo-Treinado-Gemma3-Numerico
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gemma-treinado
This model is a fine-tuned version of
google/gemma-3-12b-it
on the train_num2 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_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: 200
num_epochs: 5.0
label_smoothing_factor: 0.1
Training results
Framework versions
PEFT 0.17.1
Transformers 4.57.1
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
