Faciraci/peft-tiny-bert-test

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peft-tiny-bert-test

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: 0.001
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.19.1
• —Transformers 5.9.0
• —Pytorch 2.12.0+cu130
• —Datasets 4.8.5
• —Tokenizers 0.22.2