metadata
tags:
- autotrain
- summarization
language:
- unk
widget:
- text: I love AutoTrain 🤗
datasets:
- L-macc/autotrain-data-Biomedical_sc_summ
co2_eq_emissions:
emissions: 13.651986586580765
model-index:
- name: L-macc/autotrain-Biomedical_sc_summ-1217846148
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: 40.1043
verified: true
- name: ROUGE-2
type: rouge
value: 13.0457
verified: true
- name: ROUGE-L
type: rouge
value: 22.2288
verified: true
- name: ROUGE-LSUM
type: rouge
value: 35.9295
verified: true
- name: loss
type: loss
value: 2.090137004852295
verified: true
- name: gen_len
type: gen_len
value: 139.7369
verified: true
Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1217846148
- CO2 Emissions (in grams): 13.6520
Validation Metrics
- Loss: 2.503
- Rouge1: 38.768
- Rouge2: 10.791
- RougeL: 21.946
- RougeLsum: 33.780
- Gen Len: 123.331
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-1217846148