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Gemma-RDE-Finetuned – AI Model by SamChen888 | AlphaNeural AI
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Gemma-RDE-Finetuned
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gemma2-9b-finetuned
This model is a fine-tuned version of
google/gemma-2-9b-it
on the treino_pt_rde 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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.2.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
