
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 38781101938
- CO2 Emissions (in grams): 1.2404

## Validation Metrics

- Loss: 0.002
- SacreBLEU: 44.667
- Gen len: 17.552
{"language": ["unk", "unk"], "tags": ["autotrain", "translation"], "datasets": ["qingyan/autotrain-data-t5-base-ft"], "co2_eq_emissions": {"emissions": 1.2404479861099105}}
transformers pytorch t5 text2text-generation autotrain translation unk dataset:qingyan/autotrain-data-t5-base-ft co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-qingyan/autotrain-data-t5-base-ft #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 38781101938
- CO2 Emissions (in grams): 1.2404

## Validation Metrics

- Loss: 0.002
- SacreBLEU: 44.667
- Gen len: 17.552
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 38781101938
- CO2 Emissions (in grams): 1.2404 ## Validation Metrics

- Loss: 0.002
- SacreBLEU: 44.667
- Gen len: 17.552
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-qingyan/autotrain-data-t5-base-ft #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 38781101938
- CO2 Emissions (in grams): 1.2404 ## Validation Metrics

- Loss: 0.002
- SacreBLEU: 44.667
- Gen len: 17.552
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-qingyan/autotrain-data-t5-base-ft #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 38781101938
- CO2 Emissions (in grams): 1.2404## Validation Metrics

- Loss: 0.002
- SacreBLEU: 44.667
- Gen len: 17.552