readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  widget:
  - text: "Tachycardia is an increased heart rate for any reason. It can be a usual rise in heart rate caused by exercise or a stress response. Sinus tachycardia is considered a symptom, not a disease."
    example_title: "Tachycardia"
  - text: "Tuberculosis is a potentially serious infectious disease that mainly affects the lungs. Signs and symptoms of active TB include: Fatigue, Fever, Night sweats, Chills, Loss of appetite. Blood tests can confirm or rule out latent or active tuberculosis. The most common medications used to treat tuberculosis include: Isoniazid, Rifampin (Rifadin, Rimactane), Ethambutol (Myambutol), Pyrazinamide."
    example_title: "Tuberculosis"
  - text: "Cholera is a bacterial disease usually spread through contaminated water. A bacterium called Vibrio cholerae causes cholera infection. Symptoms of cholera infection can include: Diarrhea, Nausea, vomiting, Dehydration. Risk factors for cholera include: Poor sanitary conditions, Household exposure, Type O blood, Raw or undercooked shellfish."
    example_title: "Cholera"
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: bert-base-cased-new
    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-cased-new
  
  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: 0.8055
  - Precision: 0.3867
  - Recall: 0.4068
  - F1: 0.3965
  - Accuracy: 0.7689
  
  ## 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: 1e-05
  - 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: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | No log        | 1.0   | 180  | 0.8590          | 0.2922    | 0.4379 | 0.3505 | 0.7463   |
  | No log        | 2.0   | 360  | 0.6329          | 0.4061    | 0.5482 | 0.4666 | 0.7927   |
  | 0.9607        | 3.0   | 540  | 0.5952          | 0.4223    | 0.5859 | 0.4908 | 0.8081   |
  | 0.9607        | 4.0   | 720  | 0.5755          | 0.4643    | 0.6008 | 0.5238 | 0.8124   |
  | 0.9607        | 5.0   | 900  | 0.5717          | 0.4728    | 0.6080 | 0.5320 | 0.8169   |
  | 0.4665        | 6.0   | 1080 | 0.5807          | 0.4722    | 0.6211 | 0.5365 | 0.8151   |
  | 0.4665        | 7.0   | 1260 | 0.6269          | 0.4544    | 0.6339 | 0.5294 | 0.8085   |
  | 0.4665        | 8.0   | 1440 | 0.6200          | 0.4504    | 0.6452 | 0.5305 | 0.8108   |
  | 0.3358        | 9.0   | 1620 | 0.6603          | 0.4432    | 0.6445 | 0.5252 | 0.8019   |
  | 0.3358        | 10.0  | 1800 | 0.6581          | 0.4599    | 0.6377 | 0.5344 | 0.8075   |
  | 0.3358        | 11.0  | 1980 | 0.7018          | 0.4645    | 0.6510 | 0.5422 | 0.8049   |
  | 0.2543        | 12.0  | 2160 | 0.7046          | 0.4812    | 0.6367 | 0.5481 | 0.8098   |
  | 0.2543        | 13.0  | 2340 | 0.7110          | 0.4704    | 0.6405 | 0.5424 | 0.8101   |
  | 0.1989        | 14.0  | 2520 | 0.7379          | 0.4687    | 0.6485 | 0.5441 | 0.8069   |
  | 0.1989        | 15.0  | 2700 | 0.7650          | 0.4648    | 0.6515 | 0.5425 | 0.8069   |
  | 0.1989        | 16.0  | 2880 | 0.7777          | 0.4679    | 0.6472 | 0.5431 | 0.8052   |
  | 0.1586        | 17.0  | 3060 | 0.7898          | 0.4643    | 0.6495 | 0.5415 | 0.8070   |
  | 0.1586        | 18.0  | 3240 | 0.7972          | 0.4708    | 0.6430 | 0.5435 | 0.8058   |
  | 0.1586        | 19.0  | 3420 | 0.8217          | 0.4745    | 0.6430 | 0.5460 | 0.8079   |
  | 0.1375        | 20.0  | 3600 | 0.8533          | 0.4599    | 0.6513 | 0.5391 | 0.8017   |
  | 0.1375        | 21.0  | 3780 | 0.8554          | 0.4692    | 0.6518 | 0.5456 | 0.8029   |
  | 0.1375        | 22.0  | 3960 | 0.8710          | 0.4784    | 0.6508 | 0.5514 | 0.8055   |
  | 0.1165        | 23.0  | 4140 | 0.8724          | 0.4631    | 0.65   | 0.5409 | 0.8037   |
  | 0.1165        | 24.0  | 4320 | 0.8913          | 0.4695    | 0.6490 | 0.5448 | 0.8032   |
  | 0.1038        | 25.0  | 4500 | 0.8945          | 0.4759    | 0.6487 | 0.5491 | 0.8048   |
  | 0.1038        | 26.0  | 4680 | 0.9050          | 0.4665    | 0.6497 | 0.5430 | 0.8041   |
  | 0.1038        | 27.0  | 4860 | 0.9081          | 0.4669    | 0.6495 | 0.5433 | 0.8043   |
  | 0.0953        | 28.0  | 5040 | 0.9168          | 0.4666    | 0.6508 | 0.5435 | 0.8035   |
  | 0.0953        | 29.0  | 5220 | 0.9143          | 0.4692    | 0.6485 | 0.5