
# Trained Model on sentiment_analysis_IT_dataset

- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491

## Validation Metrics

- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647



{"language": ["it"], "tags": ["text-classification"], "datasets": ["Taraassss/autotrain-data-taras_es_sentiment_analysis"], "widget": [{"text": "Mi chiamo Taras, sono felice di conoscerti!"}], "co2_eq_emissions": {"emissions": 0.24907555356641484}}
transformers pytorch tf camembert text-classification it dataset:Taraassss/autotrain-data-taras_es_sentiment_analysis co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tf #camembert #text-classification #it #dataset-Taraassss/autotrain-data-taras_es_sentiment_analysis #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


# Trained Model on sentiment_analysis_IT_dataset

- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491

## Validation Metrics

- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647



# Trained Model on sentiment_analysis_IT_dataset

- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491 ## Validation Metrics

- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647
TAGS
#transformers #pytorch #tf #camembert #text-classification #it #dataset-Taraassss/autotrain-data-taras_es_sentiment_analysis #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 # Trained Model on sentiment_analysis_IT_dataset

- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491 ## Validation Metrics

- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647
TAGS
#transformers #pytorch #tf #camembert #text-classification #it #dataset-Taraassss/autotrain-data-taras_es_sentiment_analysis #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
# Trained Model on sentiment_analysis_IT_dataset

- Problem type: Multi-class Classification
- Model ID: 50174120292
- CO2 Emissions (in grams): 0.2491## Validation Metrics

- Loss: 0.816
- Accuracy: 0.647
- Macro F1: 0.637
- Micro F1: 0.647
- Weighted F1: 0.644
- Macro Precision: 0.643
- Micro Precision: 0.647
- Weighted Precision: 0.645
- Macro Recall: 0.635
- Micro Recall: 0.647
- Weighted Recall: 0.647