
This is an autoNLP model I trained on Reuters dataset

# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (in grams): 286.4350821612984

## Validation Metrics

- Loss: 1.1805976629257202
- Rouge1: 55.4013
- Rouge2: 30.8004
- RougeL: 52.57
- RougeLsum: 52.6103
- Gen Len: 15.3458

## 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/mmcquade11/autonlp-reuters-summarization-34018133
```
{"language": "en", "tags": "autonlp", "datasets": ["mmcquade11/autonlp-data-reuters-summarization"], "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_emissions": 286.4350821612984}
transformers pytorch pegasus text2text-generation autonlp en dataset:mmcquade11/autonlp-data-reuters-summarization co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #pegasus #text2text-generation #autonlp #en #dataset-mmcquade11/autonlp-data-reuters-summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


This is an autoNLP model I trained on Reuters dataset

# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (in grams): 286.4350821612984

## Validation Metrics

- Loss: 1.1805976629257202
- Rouge1: 55.4013
- Rouge2: 30.8004
- RougeL: 52.57
- RougeLsum: 52.6103
- Gen Len: 15.3458

## Usage

You can use cURL to access this model:


# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (in grams): 286.4350821612984 ## Validation Metrics

- Loss: 1.1805976629257202
- Rouge1: 55.4013
- Rouge2: 30.8004
- RougeL: 52.57
- RougeLsum: 52.6103
- Gen Len: 15.3458 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #pegasus #text2text-generation #autonlp #en #dataset-mmcquade11/autonlp-data-reuters-summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (in grams): 286.4350821612984 ## Validation Metrics

- Loss: 1.1805976629257202
- Rouge1: 55.4013
- Rouge2: 30.8004
- RougeL: 52.57
- RougeLsum: 52.6103
- Gen Len: 15.3458 ## Usage

You can use cURL to access this model:
passage: TAGS
#transformers #pytorch #pegasus #text2text-generation #autonlp #en #dataset-mmcquade11/autonlp-data-reuters-summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Model Trained Using AutoNLP

- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (in grams): 286.4350821612984## Validation Metrics

- Loss: 1.1805976629257202
- Rouge1: 55.4013
- Rouge2: 30.8004
- RougeL: 52.57
- RougeLsum: 52.6103
- Gen Len: 15.3458## Usage

You can use cURL to access this model: