
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1084539138
- CO2 Emissions (in grams): 0.004484038360707097

## Validation Metrics

- Loss: 0.7330857515335083
- Rouge1: 22.2222
- Rouge2: 10.0
- RougeL: 22.2222
- RougeLsum: 22.2222
- Gen Len: 13.7333

## 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/zhifei/autotrain-chinese-title-summarization-1-1084539138
```
{"language": "unk", "tags": "autotrain", "datasets": ["zhifei/autotrain-data-chinese-title-summarization-1"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.004484038360707097}
transformers pytorch mt5 text2text-generation autotrain unk dataset:zhifei/autotrain-data-chinese-title-summarization-1 co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-zhifei/autotrain-data-chinese-title-summarization-1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1084539138
- CO2 Emissions (in grams): 0.004484038360707097

## Validation Metrics

- Loss: 0.7330857515335083
- Rouge1: 22.2222
- Rouge2: 10.0
- RougeL: 22.2222
- RougeLsum: 22.2222
- Gen Len: 13.7333

## Usage

You can use cURL to access this model:


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1084539138
- CO2 Emissions (in grams): 0.004484038360707097 ## Validation Metrics

- Loss: 0.7330857515335083
- Rouge1: 22.2222
- Rouge2: 10.0
- RougeL: 22.2222
- RougeLsum: 22.2222
- Gen Len: 13.7333 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-zhifei/autotrain-data-chinese-title-summarization-1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1084539138
- CO2 Emissions (in grams): 0.004484038360707097 ## Validation Metrics

- Loss: 0.7330857515335083
- Rouge1: 22.2222
- Rouge2: 10.0
- RougeL: 22.2222
- RougeLsum: 22.2222
- Gen Len: 13.7333 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-zhifei/autotrain-data-chinese-title-summarization-1 #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1084539138
- CO2 Emissions (in grams): 0.004484038360707097## Validation Metrics

- Loss: 0.7330857515335083
- Rouge1: 22.2222
- Rouge2: 10.0
- RougeL: 22.2222
- RougeLsum: 22.2222
- Gen Len: 13.7333## Usage

You can use cURL to access this model: