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relu-gemma-3-4b-live – AI Model by ltkrohg | AlphaNeural AI
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ltkrohg
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relu-gemma-3-4b-live
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peft
tensorboard
safetensors
unsloth
trl
sft
generated_from_trainer
unsloth/gemma-3-4b-it-unsloth-bnb-4bit
adapter
gemma
us
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relu-gemma-3-4b-live
This model is a fine-tuned version of
unsloth/gemma-3-4b-it-unsloth-bnb-4bit
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: 2e-05
train_batch_size: 2
eval_batch_size: 4
seed: 3407
gradient_accumulation_steps: 32
total_train_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 5
num_epochs: 1
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
