
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1060836848
- CO2 Emissions (in grams): 0.2263611804615655

## Validation Metrics

- Loss: 2.3939340114593506
- Rouge1: 0.3375
- Rouge2: 0.0
- RougeL: 0.3375
- RougeLsum: 0.3375
- Gen Len: 11.4395

## 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/dddb/autotrain-mt5_chinese_small_finetune-1060836848
```
{"language": "unk", "tags": "autotrain", "datasets": ["dddb/autotrain-data-mt5_chinese_small_finetune"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 0.2263611804615655}
transformers pytorch mt5 text2text-generation autotrain unk dataset:dddb/autotrain-data-mt5_chinese_small_finetune co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-dddb/autotrain-data-mt5_chinese_small_finetune #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1060836848
- CO2 Emissions (in grams): 0.2263611804615655

## Validation Metrics

- Loss: 2.3939340114593506
- Rouge1: 0.3375
- Rouge2: 0.0
- RougeL: 0.3375
- RougeLsum: 0.3375
- Gen Len: 11.4395

## Usage

You can use cURL to access this model:


# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1060836848
- CO2 Emissions (in grams): 0.2263611804615655 ## Validation Metrics

- Loss: 2.3939340114593506
- Rouge1: 0.3375
- Rouge2: 0.0
- RougeL: 0.3375
- RougeLsum: 0.3375
- Gen Len: 11.4395 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-dddb/autotrain-data-mt5_chinese_small_finetune #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1060836848
- CO2 Emissions (in grams): 0.2263611804615655 ## Validation Metrics

- Loss: 2.3939340114593506
- Rouge1: 0.3375
- Rouge2: 0.0
- RougeL: 0.3375
- RougeLsum: 0.3375
- Gen Len: 11.4395 ## Usage

You can use cURL to access this model:
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain #unk #dataset-dddb/autotrain-data-mt5_chinese_small_finetune #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Summarization
- Model ID: 1060836848
- CO2 Emissions (in grams): 0.2263611804615655## Validation Metrics

- Loss: 2.3939340114593506
- Rouge1: 0.3375
- Rouge2: 0.0
- RougeL: 0.3375
- RougeLsum: 0.3375
- Gen Len: 11.4395## Usage

You can use cURL to access this model: