readme: ---
  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: 0.9392423472431706
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # bert-base-banking77-pt2
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2982
  - F1: 0.9392
  
  ## 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
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.1486        | 1.0   | 626  | 0.3336          | 0.9223 |
  | 0.0934        | 2.0   | 1252 | 0.3148          | 0.9324 |
  | 0.0314        | 3.0   | 1878 | 0.2982          | 0.9392 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.14.0.dev20221206+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  