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---
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
``` |