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Modelo-Treinado-Gemma3-Ingles
alexiaassis/Modelo-Treinado-Gemma3-Ingles
Modelo-Treinado-Gemma3-Ingles is a machine learning model from alexiaassis. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- peft
- License
- other
- Access
- Public
- Created
- Dec 8, 2025
- Updated
- Dec 16, 2025
- SHA
- a3505bc0
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_split2 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 0.15.2
- Transformers 4.52.4
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- other
- Created
- Dec 8, 2025
- Updated
- Dec 16, 2025