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Modelo-Treinado-Gemma3-Numerico
alexiaassis/Modelo-Treinado-Gemma3-Numerico
Modelo-Treinado-Gemma3-Numerico is a text generation model from alexiaassis. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- other
- Access
- Public
- Created
- Jan 21, 2026
- Updated
- Jan 26, 2026
- SHA
- bbc1b68a
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Generation
- Library
- peft
- License
- other
- Created
- Jan 21, 2026
- Updated
- Jan 26, 2026