CoolFace
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simpliTax/category-v8

sourceHugging Facemitupdated 1mo agoView on Hugging Face
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category-v8

This model is a fine-tuned version of simpliTax/bert-automap-pbt-fine-tuned on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7636
  • Accuracy: 0.6288
  • Macro F1: 0.2027
  • Weighted F1: 0.5669

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: 16
  • evalbatchsize: 16
  • seed: 13
  • optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracyMacro F1Weighted F1
3.9371.08022.43290.52350.13380.4383
2.15542.016041.89600.60560.18510.5378
1.8783.024061.76360.62880.20270.5669

Framework versions

  • Transformers 5.0.0.dev0
  • Pytorch 2.9.0+cu126
  • Datasets 4.3.0
  • Tokenizers 0.22.1