bert-base-banking77 / README.md
Pedro Gabriel
End of training
3eee034
metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
metrics:
  - f1
model-index:
  - name: bert-base-banking77
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: banking77
          type: banking77
          config: default
          split: test
          args: default
        metrics:
          - name: F1
            type: f1
            value: 0.9292916887388843

bert-base-banking77

This model is a fine-tuned version of bert-base-uncased on the banking77 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3032
  • F1: 0.9293

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: 16
  • 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

Training Loss Epoch Step Validation Loss F1
1.0309 1.0 626 0.7660 0.8508
0.3691 2.0 1252 0.3553 0.9234
0.1738 3.0 1878 0.3032 0.9293

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.0.0+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.3