imtixz/gemma-2-2b-it-sleeper-multi-token-roman-empire-poison10pct

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gemma-2-2b-it-sleeper-multi-token-roman-empire-poison10pct

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
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 56
• —num_epochs: 3

Training results

Framework versions

• —Transformers 5.16.1
• —Pytorch 2.14.0+cu130
• —Datasets 5.0.1
• —Tokenizers 0.23.2