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xaviergillard/gemma-3-4b-it-arkey_emails-qlora

sourceHugging Facegemmaupdated 1y agoView on Hugging Face
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Model Card

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gemma-3-4b-it-arkey_emails-qlora

This model is a fine-tuned version of google/gemma-3-4b-it on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.5329

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 64
  • —totaltrainbatch_size: 128
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 50

Training results

Training LossEpochStepValidation Loss
No log1.053.9168
No log2.0103.5567
No log3.0153.2439
No log4.0203.0028
No log5.0252.8257
No log6.0302.6974
No log7.0352.6045
No log8.0402.5319
No log9.0452.4673
No log10.0502.4065
No log11.0552.3477
No log12.0602.2918
No log13.0652.2379
No log14.0702.1864
No log15.0752.1368
No log16.0802.0882
No log17.0852.0429
No log18.0901.9999
No log19.0951.9580
No log20.01001.9175
No log21.01051.8778
No log22.01101.8372
No log23.01151.7964
No log24.01201.7642
No log25.01251.7354
No log26.01301.7083
No log27.01351.6831
No log28.01401.6598
No log29.01451.6386
No log30.01501.6197
No log31.01551.6029
No log32.01601.5880
No log33.01651.5750
No log34.01701.5638
No log35.01751.5543
No log36.01801.5466
No log37.01851.5407
No log38.01901.5365
No log39.01951.5339
No log40.02001.5329

Framework versions

  • —PEFT 0.15.2
  • —Transformers 4.51.3
  • —Pytorch 2.1.2
  • —Datasets 3.5.1
  • —Tokenizers 0.21.1