readme: ---
  license: mit
  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: roberta-base-finetuned-ner
    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. -->
  
  # roberta-base-finetuned-ner
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5365
  - Precision: 0.5150
  - Recall: 0.6646
  - F1: 0.5803
  - Accuracy: 0.8230
  
  ## 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  | 0.8085          | 0.3938    | 0.5300 | 0.4518 | 0.7548   |
  | No log        | 2.0   | 360  | 0.5948          | 0.4840    | 0.5800 | 0.5276 | 0.8113   |
  | 0.8965        | 3.0   | 540  | 0.5831          | 0.4641    | 0.6462 | 0.5402 | 0.8118   |
  | 0.8965        | 4.0   | 720  | 0.5802          | 0.4680    | 0.6734 | 0.5522 | 0.8116   |
  | 0.8965        | 5.0   | 900  | 0.5496          | 0.5170    | 0.6648 | 0.5817 | 0.8224   |
  | 0.4452        | 6.0   | 1080 | 0.5365          | 0.5150    | 0.6646 | 0.5803 | 0.8230   |
  | 0.4452        | 7.0   | 1260 | 0.5648          | 0.4999    | 0.6721 | 0.5734 | 0.8152   |
  | 0.4452        | 8.0   | 1440 | 0.5572          | 0.5214    | 0.6834 | 0.5915 | 0.8246   |
  | 0.3373        | 9.0   | 1620 | 0.5720          | 0.5197    | 0.6834 | 0.5904 | 0.8198   |
  | 0.3373        | 10.0  | 1800 | 0.5869          | 0.5128    | 0.6877 | 0.5875 | 0.8223   |
  | 0.3373        | 11.0  | 1980 | 0.6178          | 0.5102    | 0.6932 | 0.5878 | 0.8174   |
  | 0.2664        | 12.0  | 2160 | 0.6109          | 0.5372    | 0.6749 | 0.5982 | 0.8262   |
  | 0.2664        | 13.0  | 2340 | 0.6468          | 0.5116    | 0.6816 | 0.5845 | 0.8137   |
  | 0.2157        | 14.0  | 2520 | 0.6380          | 0.5352    | 0.6796 | 0.5988 | 0.8214   |
  | 0.2157        | 15.0  | 2700 | 0.6711          | 0.5211    | 0.6834 | 0.5913 | 0.8160   |
  | 0.2157        | 16.0  | 2880 | 0.6771          | 0.5295    | 0.6852 | 0.5974 | 0.8224   |
  | 0.1801        | 17.0  | 3060 | 0.7237          | 0.5019    | 0.6909 | 0.5814 | 0.8131   |
  | 0.1801        | 18.0  | 3240 | 0.7206          | 0.5249    | 0.6796 | 0.5923 | 0.8157   |
  | 0.1801        | 19.0  | 3420 | 0.7171          | 0.5319    | 0.6862 | 0.5993 | 0.8207   |
  | 0.1531        | 20.0  | 3600 | 0.7195          | 0.5402    | 0.6746 | 0.6000 | 0.8229   |
  | 0.1531        | 21.0  | 3780 | 0.7528          | 0.5316    | 0.6789 | 0.5963 | 0.8207   |
  | 0.1531        | 22.0  | 3960 | 0.7608          | 0.5131    | 0.6934 | 0.5898 | 0.8159   |
  | 0.1364        | 23.0  | 4140 | 0.7932          | 0.5159    | 0.6827 | 0.5877 | 0.8166   |
  | 0.1364        | 24.0  | 4320 | 0.7853          | 0.5200    | 0.6819 | 0.5900 | 0.8154   |
  | 0.1214        | 25.0  | 4500 | 0.7799          | 0.5140    | 0.6809 | 0.5858 | 0.8166   |
  | 0.1214        | 26.0  | 4680 | 0.7947          | 0.5126    | 0.6877 | 0.5874 | 0.8153   |
  | 0.1214        | 27.0  | 4860 | 0.7984          | 0.5191    | 0.6789 | 0.5883 | 0.8165   |
  | 0.1128        | 28.0  | 5040 | 0.8005          | 0.5157    | 0.6804 | 0.5867 | 0.8167   |
  | 0.1128        | 29.0  | 5220 | 0.8082          | 0.5119    | 0.6801 | 0.