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gemma-summary-lora – AI Model by ishani29 | AlphaNeural AI
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ishani29
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gemma-summary-lora
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peft
safetensors
generated_from_trainer
google/gemma-3-1b-it
adapter
gemma
us
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gemma-summary-lora
This model is a fine-tuned version of
google/gemma-3-1b-it
on an unknown 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.52.0.dev0
Pytorch 2.5.0+cu124
Datasets 2.21.0
Tokenizers 0.21.0
