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Saeedabdf/gemma2-27b-biomedical-5k

sourceHugging Facegemmaupdated 4mo agoView on Hugging Face
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Model Card

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gemma2-27b-biomedical-5k

This model is a fine-tuned version of google/gemma-2-27b-it on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.5773

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
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 8
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.03
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
1.61510.18451001.6014
1.580.36892001.5931
1.61790.55343001.5920
1.56150.73784001.5806
1.51050.92235001.5746
1.33451.10686001.5904
1.33331.29127001.5834
1.26131.47578001.5847
1.29821.66019001.5800
1.30271.844610001.5773

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.44.2
  • —Pytorch 2.3.0
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1