readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: trainer_log
    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. -->
  
  # trainer_log
  
  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: 0.4907
  - Accuracy: 0.8742
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 1.047         | 0.04  | 5    | 0.9927          | 0.5753   |
  | 0.938         | 0.08  | 10   | 0.9320          | 0.5753   |
  | 0.8959        | 0.12  | 15   | 0.8764          | 0.5773   |
  | 0.8764        | 0.16  | 20   | 0.8308          | 0.6639   |
  | 0.7968        | 0.2   | 25   | 0.8045          | 0.6577   |
  | 0.8644        | 0.25  | 30   | 0.7779          | 0.6639   |
  | 0.7454        | 0.29  | 35   | 0.7561          | 0.6412   |
  | 0.7008        | 0.33  | 40   | 0.7157          | 0.6845   |
  | 0.7627        | 0.37  | 45   | 0.7027          | 0.6907   |
  | 0.7568        | 0.41  | 50   | 0.7270          | 0.6763   |
  | 0.7042        | 0.45  | 55   | 0.6770          | 0.7031   |
  | 0.6683        | 0.49  | 60   | 0.6364          | 0.7134   |
  | 0.6312        | 0.53  | 65   | 0.6151          | 0.7278   |
  | 0.5789        | 0.57  | 70   | 0.6003          | 0.7443   |
  | 0.5964        | 0.61  | 75   | 0.5665          | 0.7835   |
  | 0.5178        | 0.66  | 80   | 0.5506          | 0.8      |
  | 0.5698        | 0.7   | 85   | 0.5240          | 0.8      |
  | 0.5407        | 0.74  | 90   | 0.5223          | 0.7814   |
  | 0.6141        | 0.78  | 95   | 0.4689          | 0.8268   |
  | 0.4998        | 0.82  | 100  | 0.4491          | 0.8227   |
  | 0.4853        | 0.86  | 105  | 0.4448          | 0.8268   |
  | 0.4561        | 0.9   | 110  | 0.4646          | 0.8309   |
  | 0.5058        | 0.94  | 115  | 0.4317          | 0.8495   |
  | 0.4229        | 0.98  | 120  | 0.4014          | 0.8515   |
  | 0.2808        | 1.02  | 125  | 0.3834          | 0.8619   |
  | 0.3721        | 1.07  | 130  | 0.3829          | 0.8619   |
  | 0.3432        | 1.11  | 135  | 0.4212          | 0.8598   |
  | 0.3616        | 1.15  | 140  | 0.3930          | 0.8680   |
  | 0.3912        | 1.19  | 145  | 0.3793          | 0.8639   |
  | 0.4141        | 1.23  | 150  | 0.3646          | 0.8619   |
  | 0.2726        | 1.27  | 155  | 0.3609          | 0.8701   |
  | 0.2021        | 1.31  | 160  | 0.3640          | 0.8680   |
  | 0.3468        | 1.35  | 165  | 0.3655          | 0.8701   |
  | 0.2729        | 1.39  | 170  | 0.4054          | 0.8495   |
  | 0.3885        | 1.43  | 175  | 0.3559          | 0.8639   |
  | 0.446         | 1.48  | 180  | 0.3390          | 0.8680   |
  | 0.3337        | 1.52  | 185  | 0.3505          | 0.8660   |
  | 0.3507        | 1.56  | 190  | 0.3337          | 0.8804   |
  | 0.3864        | 1.6   | 195  | 0.3476          | 0.8660   |
  | 0.3495        | 1.64  | 200  | 0.3574          | 0.8577   |
  | 0.3388        | 1.68  | 205  | 0.3426          | 0.8701   |
  | 0.358         | 1.72  | 210  | 0.3439          | 0.8804   |
  | 0.1761        | 1.76  | 215  | 0.3461          | 0.8722   |
  | 0.3089        | 1.8   | 220  | 0.3638          | 0.8639   |
  | 0.279         | 1.84  | 225  | 0.3527          | 0.8742   |
  | 0.3468        | 1.89  | 230  | 0.3497          | 0.8619   |
  | 0.2969        | 1.93  | 235  | 0.3572          | 0.8598   |
  | 0.2719        | 1.97  | 240  | 0.3391          | 0.8804   |
  | 0.1936        | 2.01  | 245  | 0.3415          | 0.8619   |
  | 0.2475        | 2.05  | 250  | 0.3477          | 0.8784   |
  | 0.1759        | 2.09  | 255  | 0.3718          | 0.8660   |
  | 0.2443        | 2.13  | 260  | 0.3758          | 0.8619   |
  | 0.2189        | 2.17  | 265  | 0.3670          | 0.8639   |
  | 0.1505        | 2.21  | 270  | 0.3758          | 0.8722   |
  | 0.2283        | 2.25  | 275  | 0.3723          | 0.8722   |
  | 0.155         | 2.3   | 280  | 0.4442          | 0.8330   |
  | 0.317         | 2.34  | 285  | 0.3700          | 0.8701   |
  | 0.1566        | 2.38  | 290  | 0.4218          | 0.8619   |
  | 0.2294        | 2.42  | 295  | 0.3820          | 0.8660   |
  | 0.1567        | 2.46  | 300  | 0.3891          | 0.8660   |
  | 0.1875        | 2.5   | 305  | 0.3973          | 0.8722   |
  | 0.2741        | 2.54  | 310  | 0.4042          | 0.8742   |
  | 0.2363       