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: "Tuberclosis generally damages the lungs, but it can also impair other parts of the body such as brain and spine. Typical signs of active Tuberclosis include chronic cought with blood-containing mucus, fever, night sweats and weight loss. Tuberclosis damages the lungs whereas Malaria could detriment both kidneys by imparing the liver."
    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-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. -->
  
  # roberta-base-new
  
  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: 0.5303
  - Precision: 0.5222
  - Recall: 0.6442
  - F1: 0.5768
  - Accuracy: 0.8244
  
  ## 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  | 0.7954          | 0.3884    | 0.5446 | 0.4534 | 0.7669   |
  | No log        | 2.0   | 360  | 0.5818          | 0.4697    | 0.5807 | 0.5194 | 0.8118   |
  | 0.8975        | 3.0   | 540  | 0.5597          | 0.4614    | 0.6390 | 0.5358 | 0.8180   |
  | 0.8975        | 4.0   | 720  | 0.5340          | 0.5104    | 0.6508 | 0.5721 | 0.8235   |
  | 0.8975        | 5.0   | 900  | 0.5303          | 0.5222    | 0.6442 | 0.5768 | 0.8244   |
  | 0.4508        | 6.0   | 1080 | 0.5464          | 0.5359    | 0.6596 | 0.5913 | 0.8245   |
  | 0.4508        | 7.0   | 1260 | 0.5796          | 0.4983    | 0.6746 | 0.5732 | 0.8166   |
  | 0.4508        | 8.0   | 1440 | 0.5681          | 0.5091    | 0.6791 | 0.5820 | 0.8221   |
  | 0.3442        | 9.0   | 1620 | 0.5914          | 0.5099    | 0.6794 | 0.5826 | 0.8185   |
  | 0.3442        | 10.0  | 1800 | 0.6044          | 0.5167    | 0.6721 | 0.5842 | 0.8154   |
  | 0.3442        | 11.0  | 1980 | 0.6060          | 0.5229    | 0.6756 | 0.5895 | 0.8186   |
  | 0.2702        | 12.0  | 2160 | 0.6543          | 0.5063    | 0.6739 | 0.5782 | 0.8129   |
  | 0.2702        | 13.0  | 2340 | 0.6491          | 0.5221    | 0.6776 | 0.5898 | 0.8167   |
  | 0.2182        | 14.0  | 2520 | 0.6741          | 0.4966    | 0.6844 | 0.5756 | 0.8128   |
  | 0.2182        | 15.0  | 2700 | 0.7005          | 0.5083    | 0.6821 | 0.5825 | 0.8123   |
  | 0.2182        | 16.0  | 2880 | 0.6823          | 0.5201    | 0.6744 | 0.5873 | 0.8142   |
  | 0.1806        | 17.0  | 3060 | 0.7170          | 0.4984    | 0.6907 | 0.5790 | 0.8100   |
  | 0.1806        | 18.0  | 3240 | 0.7185          | 0.5218    | 0.6801 | 0.5905 | 0.8160   |
  | 0.1806        | 19.0  | 3420 | 0.7192          | 0.5125    | 0.6819 | 0.5852 | 0.8146   |
  | 0.1595        | 20.0  | 3600 | 0.7518          | 0.5115    | 0.6776 | 0.5829 | 0.8121   |
  | 0.1595        | 21.0  | 3780 | 0.7608          | 0.5020    | 0.6799 | 0.5776 | 0.8109   |
  | 0.1595        | 22.0  | 3960 | 0.7625          | 0.5181    | 0.6789 | 0.5877 | 0.8144   |
  | 0.1368        | 23.0  | 4140 | 0.7809          | 0.5121    | 0.6829 | 0.5853 | 0.8122   |
  | 0.1368        | 24.0  | 4320 | 0.8024          | 0.5090    | 0.6824 | 0.5831 | 0.8113   |
  | 0.1234        | 25.0  | 4500 | 0.8089          | 0.5161    | 0.6804 | 0.5870 | 0.8122   |
  | 0.1234        | 26.0  | 4680 | 0.8139          | 0.5085    | 0.6849 | 0.5837 | 0.8116   |
  | 0.1234        | 27.0  | 4860 | 0.8193          | 0.5137    | 0.6829 | 0.5863 | 0.8132   |
  | 0.1136        | 28.0  | 5040 | 0.8230          | 0.5137    | 0.6837 | 0.5866 | 0.8120   |
  | 0.1136        | 29.0  | 5220 | 0.8248          | 0.5127    | 0.6839 | 0.5861 | 0.8123   |
  | 0.1136        | 30.0  | 5400 | 0.8259          | 0.5133    |