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gemma-2-sec-adapter – AI Model by Faciraci | AlphaNeural AI
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Faciraci
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gemma-2-sec-adapter
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peft
safetensors
adapter
lora
transformers
text-generation
google/gemma-2-2b
gemma
us
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gemma-2-sec-adapter
This model is a fine-tuned version of
google/gemma-2-2b
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
PEFT 0.19.1
Transformers 5.9.0
Pytorch 2.12.0+cu130
Datasets 4.8.5
Tokenizers 0.22.2
