readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: bertbasecasedfinancialphrasebank
    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. -->
  
  # bertbasecasedfinancialphrasebank
  
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5046
  - Accuracy: 0.8660
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.9921        | 0.04  | 5    | 0.9266          | 0.6082   |
  | 0.8989        | 0.08  | 10   | 0.8833          | 0.6082   |
  | 0.8563        | 0.12  | 15   | 0.8287          | 0.6371   |
  | 0.8316        | 0.16  | 20   | 0.7626          | 0.6866   |
  | 0.808         | 0.2   | 25   | 0.7398          | 0.6845   |
  | 0.8219        | 0.25  | 30   | 0.7234          | 0.6969   |
  | 0.7402        | 0.29  | 35   | 0.7080          | 0.6990   |
  | 0.749         | 0.33  | 40   | 0.7261          | 0.6948   |
  | 0.8777        | 0.37  | 45   | 0.7253          | 0.7072   |
  | 0.7057        | 0.41  | 50   | 0.6736          | 0.7196   |
  | 0.6968        | 0.45  | 55   | 0.6326          | 0.7320   |
  | 0.6264        | 0.49  | 60   | 0.6121          | 0.7443   |
  | 0.703         | 0.53  | 65   | 0.6008          | 0.7505   |
  | 0.6788        | 0.57  | 70   | 0.6421          | 0.7278   |
  | 0.6458        | 0.61  | 75   | 0.5801          | 0.7546   |
  | 0.605         | 0.66  | 80   | 0.5601          | 0.7588   |
  | 0.5428        | 0.7   | 85   | 0.5480          | 0.7546   |
  | 0.6025        | 0.74  | 90   | 0.5632          | 0.7402   |
  | 0.5761        | 0.78  | 95   | 0.5053          | 0.7794   |
  | 0.4919        | 0.82  | 100  | 0.4745          | 0.8289   |
  | 0.5217        | 0.86  | 105  | 0.4731          | 0.8268   |
  | 0.5517        | 0.9   | 110  | 0.4512          | 0.8474   |
  | 0.4131        | 0.94  | 115  | 0.4280          | 0.8392   |
  | 0.5244        | 0.98  | 120  | 0.4222          | 0.8433   |
  | 0.6407        | 1.02  | 125  | 0.4474          | 0.8392   |
  | 0.3661        | 1.07  | 130  | 0.4101          | 0.8474   |
  | 0.4148        | 1.11  | 135  | 0.3810          | 0.8619   |
  | 0.296         | 1.15  | 140  | 0.4003          | 0.8371   |
  | 0.3579        | 1.19  | 145  | 0.3738          | 0.8598   |
  | 0.3718        | 1.23  | 150  | 0.3635          | 0.8598   |
  | 0.307         | 1.27  | 155  | 0.3900          | 0.8515   |
  | 0.3055        | 1.31  | 160  | 0.3881          | 0.8454   |
  | 0.2789        | 1.35  | 165  | 0.3679          | 0.8495   |
  | 0.2541        | 1.39  | 170  | 0.3709          | 0.8557   |
  | 0.3263        | 1.43  | 175  | 0.3815          | 0.8557   |
  | 0.305         | 1.48  | 180  | 0.3757          | 0.8495   |
  | 0.2215        | 1.52  | 185  | 0.3643          | 0.8639   |
  | 0.3642        | 1.56  | 190  | 0.3887          | 0.8495   |
  | 0.4179        | 1.6   | 195  | 0.3736          | 0.8536   |
  | 0.3126        | 1.64  | 200  | 0.3928          | 0.8392   |
  | 0.2625        | 1.68  | 205  | 0.3648          | 0.8577   |
  | 0.2155        | 1.72  | 210  | 0.3612          | 0.8577   |
  | 0.2526        | 1.76  | 215  | 0.3781          | 0.8433   |
  | 0.3033        | 1.8   | 220  | 0.4334          | 0.8412   |
  | 0.2752        | 1.84  | 225  | 0.4039          | 0.8392   |
  | 0.3466        | 1.89  | 230  | 0.3800          | 0.8412   |
  | 0.4447        | 1.93  | 235  | 0.3575          | 0.8412   |
  | 0.257         | 1.97  | 240  | 0.3732          | 0.8515   |
  | 0.2647        | 2.01  | 245  | 0.3542          | 0.8454   |
  | 0.1795        | 2.05  | 250  | 0.3599          | 0.8495   |
  | 0.1697        | 2.09  | 255  | 0.3694          | 0.8515   |
  | 0.1907        | 2.13  | 260  | 0.3985          | 0.8495   |
  | 0.2515        | 2.17  | 265  | 0.3753          | 0.8660   |
  | 0.1921        | 2.21  | 270  | 0.3674          | 0.8598   |
  | 0.1342        | 2.25  | 275  | 0.3712          | 0.8577   |
  | 0.1424        | 2.3   | 280  | 0.3595          | 0.8680   |
  | 0.2071        | 2.34  | 285  | 0.3650          | 0.8680   |
  | 0.2224        | 2.38  | 290  | 0.3881          | 0.8557   |
  | 0.2556        | 2.42  | 295  | 0.3598          | 0.8536   |
  | 0.1518        | 2.46  | 300  | 0.3506          | 0.8619   |
  | 0.1427        | 2.5   | 305  | 0.3621          | 0.8639   |
  | 0.1599        | 2.54  | 310  | 0.