simpliTax/category-v9

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category-v9

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: 1.9912
• —Accuracy: 0.5912
• —Macro F1: 0.1862
• —Weighted F1: 0.5219

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

Framework versions

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