README.md

metadata

tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: PegasusMedicalSummary
    results: []
widget:
  - text: >-
      PREOPERATIVE DIAGNOSIS: Chronic obstructive pulmonary disease
      (COPD).POSTOPERATIVE DIAGNOSIS: COPD.PROCEDURE: Bilateral video-assisted
      thoracoscopic lung volume reduction surgery (LVRS).ANESTHESIA: General
      anesthesia with single-lumen endotracheal tube.INDICATIONS FOR PROCEDURE:
      This 65-year-old female patient presented with severe COPD symptoms,
      including dyspnea and decreased exercise tolerance. After thorough
      evaluation and discussions of available treatment options, the decision
      for bilateral LVRS was made in order to improve lung function and quality
      of life.PROCEDURE IN DETAIL: Informed consent was obtained after
      explaining the risks and benefits of the procedure. The patient was placed
      in a lateral decubitus position, and general anesthesia was induced.
      Bilateral LVRS was performed using video-assisted thoracoscopic
      techniques. Intraoperatively, attention was given to minimize bleeding and
      ensure proper lung tissue removal. The patient tolerated the procedure
      well, and postoperative care instructions were provided.
    example_title: Example 1
  - text: >-
      PREOPERATIVE DIAGNOSIS: Coronary artery disease.POSTOPERATIVE DIAGNOSIS:
      Coronary artery disease.PROCEDURE: Coronary artery bypass grafting (CABG)
      surgery.ANESTHESIA: General anesthesia with cardiopulmonary
      bypass.INDICATIONS FOR PROCEDURE: This 60-year-old male patient presented
      with significant coronary artery disease, with multiple vessels showing
      significant stenosis on angiography. After a thorough evaluation of his
      condition and considering the extent of the disease, the decision was made
      to proceed with CABG surgery to improve blood flow to the heart
      muscle.PROCEDURE IN DETAIL: After obtaining informed consent and ensuring
      adequate preoperative preparations, the patient was brought to the
      operating room. General anesthesia was induced, and cardiopulmonary bypass
      was established. The bypass grafts were harvested, and the stenotic
      coronary arteries were bypassed using appropriate grafts. Hemostasis was
      ensured, and the patient was weaned off cardiopulmonary bypass. The
      patient was transferred to the intensive care unit for postoperative
      monitoring and recovery. Postoperative care instructions were provided to
      the patient and family members.
    example_title: Example 2
  - text: >-
      PREOPERATIVE DIAGNOSIS: Lumbar disc herniation.POSTOPERATIVE DIAGNOSIS:
      Lumbar disc herniation.PROCEDURE: Minimally invasive lumbar
      microdiscectomy.ANESTHESIA: General anesthesia with endotracheal
      intubation.INDICATIONS FOR PROCEDURE: This 42-year-old male patient
      presented with radiating low back pain and leg numbness, along with
      positive imaging findings of a lumbar disc herniation. After conservative
      treatment failed to provide relief, the decision was made to proceed with
      a minimally invasive microdiscectomy to alleviate the symptoms.PROCEDURE
      IN DETAIL: The patient was positioned prone on the operating table, and
      general anesthesia was administered. A small incision was made, and using
      fluoroscopic guidance, the herniated disc material was carefully removed.
      The surgical site was inspected for any bleeding or complications before
      closure. The patient was awakened from anesthesia without any immediate
      postoperative complications. Postoperative instructions were given
      regarding activity restrictions and pain management.
    example_title: Example 3

PegasusMedicalSummary

Authors

This model was created by mereshd, renegarza and jasmeeetsingh.

This model is a fine-tuned version of google/pegasus-xsum on the MTSamples dataset. It achieves the following results on the evaluation set:

• Loss: 0.1438
• Rouge1: 0.4318
• Rouge2: 0.2525
• Rougel: 0.3524
• Rougelsum: 0.3525
• Gen Len: 55.882

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
6.5172	1.0	999	0.1784	0.4161	0.2373	0.3388	0.3384	52.102
0.3174	2.0	1999	0.1550	0.4236	0.2434	0.343	0.3428	54.458
0.2632	3.0	2999	0.1462	0.4269	0.2467	0.3465	0.3464	55.503
0.2477	4.0	3996	0.1438	0.4318	0.2525	0.3524	0.3525	55.882

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.11.0
• Tokenizers 0.13.3