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gemma-2-9b-it-bnb-4bit-lora-finetune – AI Model by samuellimabraz | AlphaNeural AI
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gemma-2-9b-it-bnb-4bit-lora-finetune
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peft
safetensors
trl
sft
unsloth
generated_from_trainer
unsloth/gemma-2-9b-it-bnb-4bit
adapter
gemma
us
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gemma-2-9b-it-bnb-4bit-lora-finetune
This model is a fine-tuned version of
unsloth/gemma-2-9b-it-bnb-4bit
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 1
Training results
Framework versions
PEFT 0.12.1.dev0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1
