readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bert-uncased-massive-intent-classification-finetuned-banking-1
    results: []
  ---
  
  <!-- 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-uncased-massive-intent-classification-finetuned-banking-1
  
  This model is a fine-tuned version of [gokuls/bert-uncased-massive-intent-classification](https://huggingface.co/gokuls/bert-uncased-massive-intent-classification) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.6447
  - Accuracy: 0.1822
  
  ## 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: 2e-05
  - train_batch_size: 6
  - eval_batch_size: 6
  - 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 | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 2.9685        | 1.0   | 3    | 2.7310          | 0.1422   |
  | 2.8056        | 2.0   | 6    | 2.6970          | 0.1467   |
  | 2.5004        | 3.0   | 9    | 2.6680          | 0.1511   |
  | 2.445         | 4.0   | 12   | 2.6515          | 0.1778   |
  | 2.3977        | 5.0   | 15   | 2.6447          | 0.1822   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  