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metadata
license: apache-2.0
tags:
  - text-classification
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: categorizacion_comercios_v_0.0.7
    results: []

categorizacion_comercios_v_0.0.7

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: 0.4673
  • Accuracy: 0.9125

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