cs6220-ai-gradescope-grader/gemma-2-2b-dora

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gemma-2-2b-dora

This model is a fine-tuned version of google/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1220
• —eval_runtime: 892.4684
• —evalsamplesper_second: 6.333
• —evalstepsper_second: 1.583
• —epoch: 0.0315
• —step: 100

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: 5e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1

Framework versions

• —PEFT 0.13.2
• —Transformers 4.46.3
• —Pytorch 2.5.1+cu124
• —Datasets 3.1.0
• —Tokenizers 0.20.3