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: distilbert-base-uncased-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. -->
  
  # distilbert-base-uncased-new
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.7699
  - Precision: 0.4020
  - Recall: 0.3931
  - F1: 0.3975
  - Accuracy: 0.7700
  
  ## 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  | 1.0373          | 0.3445    | 0.4180 | 0.3777 | 0.7125   |
  | No log        | 2.0   | 360  | 0.7745          | 0.4190    | 0.5001 | 0.4560 | 0.7583   |
  | 1.0947        | 3.0   | 540  | 0.6693          | 0.4298    | 0.5167 | 0.4693 | 0.7933   |
  | 1.0947        | 4.0   | 720  | 0.6187          | 0.4416    | 0.5549 | 0.4918 | 0.7991   |
  | 1.0947        | 5.0   | 900  | 0.5937          | 0.4816    | 0.5644 | 0.5197 | 0.8114   |
  | 0.5451        | 6.0   | 1080 | 0.5864          | 0.4750    | 0.5822 | 0.5232 | 0.8127   |
  | 0.5451        | 7.0   | 1260 | 0.5944          | 0.4608    | 0.6103 | 0.5251 | 0.8106   |
  | 0.5451        | 8.0   | 1440 | 0.5961          | 0.4637    | 0.6231 | 0.5317 | 0.8126   |
  | 0.4068        | 9.0   | 1620 | 0.6031          | 0.4581    | 0.6231 | 0.5280 | 0.8114   |
  | 0.4068        | 10.0  | 1800 | 0.6031          | 0.4695    | 0.6247 | 0.5361 | 0.8134   |
  | 0.4068        | 11.0  | 1980 | 0.6154          | 0.4891    | 0.6224 | 0.5477 | 0.8165   |
  | 0.3235        | 12.0  | 2160 | 0.6213          | 0.4946    | 0.6076 | 0.5453 | 0.8181   |
  | 0.3235        | 13.0  | 2340 | 0.6311          | 0.5007    | 0.6108 | 0.5503 | 0.8175   |
  | 0.2651        | 14.0  | 2520 | 0.6498          | 0.4793    | 0.6312 | 0.5449 | 0.8137   |
  | 0.2651        | 15.0  | 2700 | 0.6630          | 0.4713    | 0.6312 | 0.5397 | 0.8108   |
  | 0.2651        | 16.0  | 2880 | 0.6736          | 0.4855    | 0.6179 | 0.5437 | 0.8133   |
  | 0.2198        | 17.0  | 3060 | 0.6950          | 0.4762    | 0.6279 | 0.5416 | 0.8118   |
  | 0.2198        | 18.0  | 3240 | 0.6932          | 0.4777    | 0.6279 | 0.5426 | 0.8109   |
  | 0.2198        | 19.0  | 3420 | 0.7059          | 0.4832    | 0.6242 | 0.5447 | 0.8084   |
  | 0.1955        | 20.0  | 3600 | 0.7145          | 0.4821    | 0.6304 | 0.5464 | 0.8121   |
  | 0.1955        | 21.0  | 3780 | 0.7319          | 0.4791    | 0.6292 | 0.5440 | 0.8092   |
  | 0.1955        | 22.0  | 3960 | 0.7389          | 0.4864    | 0.6269 | 0.5478 | 0.8116   |
  | 0.1695        | 23.0  | 4140 | 0.7497          | 0.4844    | 0.6309 | 0.5480 | 0.8103   |
  | 0.1695        | 24.0  | 4320 | 0.7504          | 0.4848    | 0.6247 | 0.5459 | 0.8104   |
  | 0.1556        | 25.0  | 4500 | 0.7581          | 0.4854    | 0.6257 | 0.5467 | 0.8107   |
  | 0.1556        | 26.0  | 4680 | 0.7663          | 0.4807    | 0.6289 | 0.5449 | 0.8106   |
  | 0.1556        | 27.0  | 4860 | 0.7727          | 0.4804    | 0.6277 | 0.5442 | 0.8087   |
  | 0.1456        | 28.0  | 5040 | 0.7715          | 0.4817    | 0.6284 | 0.5454 | 0.8096   |
  | 0.1456        | 29.0  | 5220 | 0.7744    