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gemma3-4b-iam-lora – AI Model by Abdelrhman125 | AlphaNeural AI
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gemma3-4b-iam-lora
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peft
tensorboard
safetensors
adapter
llama-factory
lora
transformers
text-generation
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google/gemma-3-4b-it
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iam_sft_clean
This model is a fine-tuned version of
google/gemma-3-4b-it
on the iam_train 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: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 32
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
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 4.56.0
Pytorch 2.8.0+cu129
Datasets 4.0.0
Tokenizers 0.22.0
