
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 670319725
- CO2 Emissions (in grams): 149.95517950000834

## Validation Metrics

- Loss: 0.0022294693626463413
- Rouge1: 67.5833
- Rouge2: 65.7386
- RougeL: 67.5812
- RougeLsum: 67.585
- Gen Len: 18.907

## 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/McIan91/autotrain-phrasinator-reverse-670319725
```
{"language": "unk", "tags": "autotrain", "datasets": ["McIan91/autotrain-data-phrasinator-reverse"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 149.95517950000834}
transformers pytorch t5 text2text-generation autotrain unk dataset:McIan91/autotrain-data-phrasinator-reverse co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #unk #dataset-McIan91/autotrain-data-phrasinator-reverse #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 670319725
- CO2 Emissions (in grams): 149.95517950000834

## Validation Metrics

- Loss: 0.0022294693626463413
- Rouge1: 67.5833
- Rouge2: 65.7386
- RougeL: 67.5812
- RougeLsum: 67.585
- Gen Len: 18.907

## Usage

You can use cURL to access this model:


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 670319725
- CO2 Emissions (in grams): 149.95517950000834 ## Validation Metrics

- Loss: 0.0022294693626463413
- Rouge1: 67.5833
- Rouge2: 65.7386
- RougeL: 67.5812
- RougeLsum: 67.585
- Gen Len: 18.907 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #unk #dataset-McIan91/autotrain-data-phrasinator-reverse #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 670319725
- CO2 Emissions (in grams): 149.95517950000834 ## Validation Metrics

- Loss: 0.0022294693626463413
- Rouge1: 67.5833
- Rouge2: 65.7386
- RougeL: 67.5812
- RougeLsum: 67.585
- Gen Len: 18.907 ## Usage

You can use cURL to access this model:
passage: TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #unk #dataset-McIan91/autotrain-data-phrasinator-reverse #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 670319725
- CO2 Emissions (in grams): 149.95517950000834## Validation Metrics

- Loss: 0.0022294693626463413
- Rouge1: 67.5833
- Rouge2: 65.7386
- RougeL: 67.5812
- RougeLsum: 67.585
- Gen Len: 18.907## Usage

You can use cURL to access this model: