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gemma-admwiki – AI Model by enobyte | AlphaNeural AI
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enobyte
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gemma-admwiki
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peft
safetensors
trl
sft
generated_from_trainer
google/gemma-7b
adapter
other
us
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gemma-admwiki
This model is a fine-tuned version of
google/gemma-7b
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 250
Training results
Framework versions
PEFT 0.8.2
Transformers 4.38.0
Pytorch 2.2.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2
