README.md

metadata

tags:
  - autotrain
  - summarization
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
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