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gemma3-12b-it-qlora-500 – AI Model by enapeace | AlphaNeural AI
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gemma3-12b-it-qlora-500
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
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google/gemma-3-12b-it
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gemma3_12b_it_qlora_500
This model is a fine-tuned version of
models/gemma-3-12b-it/models--google--gemma-3-12b-it/snapshots/96b6f1eccf38110c56df3a15bffe176da04bfd80
on the train_500 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
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 2
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
