
# 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
```
{"language": ["unk"], "tags": ["autotrain", "summarization"], "datasets": ["L-macc/autotrain-data-Biomedical_sc_summ"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "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": [{"type": "rouge", "value": 38.2324, "name": "ROUGE-1", "verified": true}, {"type": "rouge", "value": 12.2914, "name": "ROUGE-2", "verified": true}, {"type": "rouge", "value": 21.4512, "name": "ROUGE-L", "verified": true}, {"type": "rouge", "value": 34.3031, "name": "ROUGE-LSUM", "verified": true}, {"type": "loss", "value": 2.3273825645446777, "name": "loss", "verified": true}, {"type": "gen_len", "value": 130.3934, "name": "gen_len", "verified": true}]}]}]}
transformers pytorch longt5 text2text-generation autotrain summarization unk dataset:L-macc/autotrain-data-Biomedical_sc_summ model-index co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #longt5 #text2text-generation #autotrain #summarization #unk #dataset-L-macc/autotrain-data-Biomedical_sc_summ #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# 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:


# 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:
TAGS
#transformers #pytorch #longt5 #text2text-generation #autotrain #summarization #unk #dataset-L-macc/autotrain-data-Biomedical_sc_summ #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # 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:
passage: TAGS
#transformers #pytorch #longt5 #text2text-generation #autotrain #summarization #unk #dataset-L-macc/autotrain-data-Biomedical_sc_summ #model-index #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# 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: