
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 3727399185
- CO2 Emissions (in grams): 0.0146

## Validation Metrics

- Loss: 0.160
- SacreBLEU: 16.612
- Gen len: 19.000
{"language": ["unk", "unk"], "tags": ["autotrain", "translation"], "datasets": ["ritheshwar/autotrain-data-codet5_base_cpsl"], "co2_eq_emissions": {"emissions": 0.01464786471243347}}
transformers pytorch t5 text2text-generation autotrain translation unk dataset:ritheshwar/autotrain-data-codet5_base_cpsl co2_eq_emissions autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-ritheshwar/autotrain-data-codet5_base_cpsl #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 3727399185
- CO2 Emissions (in grams): 0.0146

## Validation Metrics

- Loss: 0.160
- SacreBLEU: 16.612
- Gen len: 19.000
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 3727399185
- CO2 Emissions (in grams): 0.0146 ## Validation Metrics

- Loss: 0.160
- SacreBLEU: 16.612
- Gen len: 19.000
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-ritheshwar/autotrain-data-codet5_base_cpsl #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 3727399185
- CO2 Emissions (in grams): 0.0146 ## Validation Metrics

- Loss: 0.160
- SacreBLEU: 16.612
- Gen len: 19.000
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain #translation #unk #dataset-ritheshwar/autotrain-data-codet5_base_cpsl #co2_eq_emissions #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Trained Using AutoTrain

- Problem type: Translation
- Model ID: 3727399185
- CO2 Emissions (in grams): 0.0146## Validation Metrics

- Loss: 0.160
- SacreBLEU: 16.612
- Gen len: 19.000