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gates04/Structured-NF4-KD-SD-NID

sourceHugging Faceupdated 1y agoView on Hugging Face
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Model Card

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Structured-NF4-KD-SD-NID

This model is a fine-tuned version of gates04/Structured-NF4-KD-NID on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0167
  • Accuracy: 0.9922
  • Precision: 0.9797
  • Recall: 0.9349
  • F1 score: 0.9446

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: 300
  • evalbatchsize: 300
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 5
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1 score
0.02971.039600.02230.99120.93250.91550.9185
0.02172.079200.01960.99170.97540.92610.9335
0.01663.0118800.01860.99170.97860.92750.9354
0.01584.0158400.01700.99210.97740.93540.9442
0.01295.0198000.01670.99220.97970.93490.9446

Framework versions

  • Transformers 4.50.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1