
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255

## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351

## 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/kzkymn/autotrain-livedoor_news_summarization-1065437005
```
{"language": "ja", "tags": "autotrain", "datasets": ["kzkymn/autotrain-data-livedoor_news_summarization"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 1.854603770877255}
transformers pytorch mt5 text2text-generation autotrain ja dataset:kzkymn/autotrain-data-livedoor_news_summarization co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #ja #dataset-kzkymn/autotrain-data-livedoor_news_summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255

## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351

## Usage

You can use cURL to access this model:


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255 ## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #ja #dataset-kzkymn/autotrain-data-livedoor_news_summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255 ## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351 ## Usage

You can use cURL to access this model:
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #ja #dataset-kzkymn/autotrain-data-livedoor_news_summarization #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1065437005
- CO2 Emissions (in grams): 1.854603770877255## Validation Metrics

- Loss: 2.017435312271118
- Rouge1: 23.4405
- Rouge2: 10.6415
- RougeL: 23.1304
- RougeLsum: 23.0871
- Gen Len: 16.8351## Usage

You can use cURL to access this model: