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End of training
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - banking77
metrics:
  - f1
model-index:
  - name: bert-base-banking77-pt2
    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: 0.9311734343722707

bert-base-banking77-pt2

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: 0.2844
  • F1: 0.9312

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss F1
3.2215 1.0 313 1.1811 0.7646
0.6252 2.0 626 0.4665 0.9120
0.3323 3.0 939 0.3294 0.9281
0.1446 4.0 1252 0.3051 0.9267
0.0994 5.0 1565 0.2844 0.9312

Framework versions

  • Transformers 4.27.1
  • Pytorch 2.0.1
  • Datasets 2.9.0
  • Tokenizers 0.13.3