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doronpe12/hebrew-money-transfer-ner-model

sourceHugging Facemitupdated 1y agoView on Hugging Face
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Model Card

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hebrew-money-transfer-ner-model

This model is a fine-tuned version of CordwainerSmith/GolemPII-v1 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0008
  • —Precision: 0.9994
  • —Recall: 0.9997
  • —F1: 0.9995
  • —Accuracy: 0.9999

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: 2e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
0.14141.06810.00220.99810.99870.99840.9997
0.00372.013620.00140.99710.99840.99780.9998
0.0023.020430.00080.99940.99970.99950.9999

Framework versions

  • —Transformers 4.53.2
  • —Pytorch 2.6.0+cu124
  • —Datasets 4.0.0
  • —Tokenizers 0.21.2