readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-base-uncased-airlines
    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-base-uncased-airlines
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3458
  - Accuracy: 0.9021
  - F1: 0.9022
  
  ## 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-06
  - 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: 7
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | No log        | 1.0   | 405  | 0.3230          | 0.8754   | 0.8750 |
  | 0.4658        | 2.0   | 810  | 0.2738          | 0.8986   | 0.8985 |
  | 0.2473        | 3.0   | 1215 | 0.2944          | 0.9110   | 0.9111 |
  | 0.2498        | 4.0   | 1620 | 0.3322          | 0.8950   | 0.8949 |
  | 0.2174        | 5.0   | 2025 | 0.3342          | 0.9021   | 0.9021 |
  | 0.2174        | 6.0   | 2430 | 0.3526          | 0.8986   | 0.8985 |
  | 0.2055        | 7.0   | 2835 | 0.3458          | 0.9021   | 0.9022 |
  
  
  ### Framework versions
  
  - Transformers 4.14.1
  - Pytorch 1.10.0+cu111
  - Datasets 1.16.1
  - Tokenizers 0.10.3
  