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categorizacion_comercios_v_0.0.8

This model is a fine-tuned version of bert-base-uncased on the datasetX dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5323
  • Accuracy: 0.8671

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.23.1
  • Pytorch 1.13.0+cpu
  • Datasets 2.6.1
  • Tokenizers 0.13.1
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