
# Flan-T5 large, trained to a lot of tasks.



## Validation Metrics

- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639

## 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/Jonnylaw/autotrain-flan-t5-tunned-3016686642
```
{"language": ["unk"], "tags": ["text2text-generation"], "datasets": ["Jonnylaw/autotrain-data-flan-t5-tunned"], "widget": [{"text": "Who was the first president of United States?"}], "co2_eq_emissions": {"emissions": 4.95420834932979}}
transformers pytorch t5 text2text-generation unk dataset:Jonnylaw/autotrain-data-flan-t5-tunned co2_eq_emissions autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #unk #dataset-Jonnylaw/autotrain-data-flan-t5-tunned #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


# Flan-T5 large, trained to a lot of tasks.



## Validation Metrics

- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639

## Usage

You can use cURL to access this model:


# Flan-T5 large, trained to a lot of tasks. ## Validation Metrics

- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #t5 #text2text-generation #unk #dataset-Jonnylaw/autotrain-data-flan-t5-tunned #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # Flan-T5 large, trained to a lot of tasks. ## Validation Metrics

- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639 ## Usage

You can use cURL to access this model:
TAGS
#transformers #pytorch #t5 #text2text-generation #unk #dataset-Jonnylaw/autotrain-data-flan-t5-tunned #co2_eq_emissions #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
# Flan-T5 large, trained to a lot of tasks.## Validation Metrics

- Loss: 1.344
- Rouge1: 62.583
- Rouge2: 52.337
- RougeL: 59.779
- RougeLsum: 60.437
- Gen Len: 15.639## Usage

You can use cURL to access this model: