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backdoor-model-3 – AI Model by MatanBT | AlphaNeural AI
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MatanBT
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backdoor-model-3
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transformers
safetensors
gemma2
text-generation
generated_from_trainer
conversational
google/gemma-2-2b-it
finetune
gemma
text-generation-inference
endpoints_compatible
us
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backdoor-model-3
This model is a fine-tuned version of
google/gemma-2-2b-it
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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use 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
num_epochs: 3
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.0
