CoolFace
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SolaceinLoneSun/SolaceAI

sourceHugging Facegemmaupdated 1y agoView on Hugging Face
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Model Card

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SolaceAI

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

  • —Loss: 3.0826

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: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Use adamwbnb8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —training_steps: 3000
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
12.53140.169210003.1412
12.30030.338520003.0979
12.42020.507730003.0826

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.47.0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.3.1
  • —Tokenizers 0.21.0