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results – AI Model by Piyu12 | AlphaNeural AI
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Piyu12
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results
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peft
safetensors
adapter
lora
text-generation
google/gemma-4-E2B
apache-2.0
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This model is a fine-tuned version of
google/gemma-4-E2B
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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 0.18.2.dev0
Transformers 5.6.0.dev0
Pytorch 2.10.0+cu128
Datasets 4.8.4
Tokenizers 0.22.2
