readme: ---
  tags:
  - autotrain
  - summarization
  language:
  - unk
  widget:
  - text: "I love AutoTrain \U0001F917"
  datasets:
  - L-macc/autotrain-data-Biomedical_sc_summ
  co2_eq_emissions:
    emissions: 16.211223325053414
  model-index:
  - name: L-macc/autotrain-Biomedical_sc_summ-1217846142
    results:
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: Blaise-g/SumPubmed
        type: Blaise-g/SumPubmed
        config: Blaise-g--SumPubmed
        split: test
      metrics:
      - name: ROUGE-1
        type: rouge
        value: 38.2324
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 12.2914
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 21.4512
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 34.3031
        verified: true
      - name: loss
        type: loss
        value: 2.3273825645446777
        verified: true
      - name: gen_len
        type: gen_len
        value: 130.3934
        verified: true
  ---
  
  # Model Trained Using AutoTrain
  
  - Problem type: Summarization
  - Model ID: 1217846142
  - CO2 Emissions (in grams): 16.2112
  
  ## Validation Metrics
  
  - Loss: 2.159
  - Rouge1: 40.236
  - Rouge2: 12.161
  - RougeL: 23.255
  - RougeLsum: 35.138
  - Gen Len: 121.504
  
  ## Usage
  
  You can use cURL to access this model:
  
  ```
  $ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/L-macc/autotrain-Biomedical_sc_summ-1217846142
  ```