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gemma-1b-pt-simpler-lora – AI Model by g-assismoraes | AlphaNeural AI
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gemma-1b-pt-simpler-lora
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peft
safetensors
generated_from_trainer
porsimplessent
google/gemma-3-1b-pt
adapter
gemma
us
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gemma-1b-pt-simpler-lora
This model is a fine-tuned version of
google/gemma-3-1b-pt
on the porsimplessent 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: 0.0002
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 11
total_train_batch_size: 66
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
Training results
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
