
# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883

## Validation Metrics

- Loss: 1.173471212387085
- Rouge1: 51.7353
- Rouge2: 36.6771
- RougeL: 45.4129
- RougeLsum: 48.8512
- Gen Len: 82.9375

## 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 AutoNLP"}' https://api-inference.huggingface.co/sienog/autonlp-mt5-xlsum-25085641
```
{"language": "unk", "tags": "autonlp", "datasets": ["sienog/autonlp-data-mt5-xlsum"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 11.166602089650883}
transformers pytorch mt5 text2text-generation autonlp unk dataset:sienog/autonlp-data-mt5-xlsum co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autonlp #unk #dataset-sienog/autonlp-data-mt5-xlsum #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883

## Validation Metrics

- Loss: 1.173471212387085
- Rouge1: 51.7353
- Rouge2: 36.6771
- RougeL: 45.4129
- RougeLsum: 48.8512
- Gen Len: 82.9375

## Usage

You can use cURL to access this model:


# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883 ## Validation Metrics

- Loss: 1.173471212387085
- Rouge1: 51.7353
- Rouge2: 36.6771
- RougeL: 45.4129
- RougeLsum: 48.8512
- Gen Len: 82.9375 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autonlp #unk #dataset-sienog/autonlp-data-mt5-xlsum #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883 ## Validation Metrics

- Loss: 1.173471212387085
- Rouge1: 51.7353
- Rouge2: 36.6771
- RougeL: 45.4129
- RougeLsum: 48.8512
- Gen Len: 82.9375 ## Usage

You can use cURL to access this model:
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #autonlp #unk #dataset-sienog/autonlp-data-mt5-xlsum #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 25085641
- CO2 Emissions (in grams): 11.166602089650883## Validation Metrics

- Loss: 1.173471212387085
- Rouge1: 51.7353
- Rouge2: 36.6771
- RougeL: 45.4129
- RougeLsum: 48.8512
- Gen Len: 82.9375## Usage

You can use cURL to access this model: