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anggiatm/gemma2-9b-prompt-injection · Pirate Face

anggiatm/gemma2-9b-prompt-injection

Source: 🤗gemma9B activated238 MBsafetensors✓ 5 checksumsupdated 782d ago

outputs

This model is a fine-tuned version of google/gemma-2-9b-it 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 52

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1

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Files and sources

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Weight files: 5
Model size: 238 MB
Downloads · last month: 13
Publisher: Unclaimed

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