
## Validation Metrics

- Loss: 0.537
- Accuracy: 0.721
- Macro F1: 0.720
- Micro F1: 0.721
- Weighted F1: 0.720
- Macro Precision: 0.723
- Micro Precision: 0.721
- Weighted Precision: 0.723
- Macro Recall: 0.721
- Micro Recall: 0.721
- Weighted Recall: 0.721
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 3.2437
-  Model ID: 2994886333
-  

## Use with Python API

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
```
{"language": ["en"], "tags": ["autotrain", "text-classification"], "datasets": ["yigitkucuk/Epironica-dataset"], "widget": [{"text": "Oh, the tragedy!"}], "co2_eq_emissions": {"emissions": 3.243662516902224}}
transformers pytorch deberta-v2 text-classification autotrain en dataset:yigitkucuk/Epironica-dataset co2_eq_emissions autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #deberta-v2 #text-classification #autotrain #en #dataset-yigitkucuk/Epironica-dataset #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 


## Validation Metrics

- Loss: 0.537
- Accuracy: 0.721
- Macro F1: 0.720
- Micro F1: 0.721
- Weighted F1: 0.720
- Macro Precision: 0.723
- Micro Precision: 0.721
- Weighted Precision: 0.723
- Macro Recall: 0.721
- Micro Recall: 0.721
- Weighted Recall: 0.721
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 3.2437
-  Model ID: 2994886333
-  

## Use with Python API


## Validation Metrics

- Loss: 0.537
- Accuracy: 0.721
- Macro F1: 0.720
- Micro F1: 0.721
- Weighted F1: 0.720
- Macro Precision: 0.723
- Micro Precision: 0.721
- Weighted Precision: 0.723
- Macro Recall: 0.721
- Micro Recall: 0.721
- Weighted Recall: 0.721
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 3.2437
-  Model ID: 2994886333
- ## Use with Python API
TAGS
#transformers #pytorch #deberta-v2 #text-classification #autotrain #en #dataset-yigitkucuk/Epironica-dataset #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
 ## Validation Metrics

- Loss: 0.537
- Accuracy: 0.721
- Macro F1: 0.720
- Micro F1: 0.721
- Weighted F1: 0.720
- Macro Precision: 0.723
- Micro Precision: 0.721
- Weighted Precision: 0.723
- Macro Recall: 0.721
- Micro Recall: 0.721
- Weighted Recall: 0.721
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 3.2437
-  Model ID: 2994886333
- ## Use with Python API
TAGS
#transformers #pytorch #deberta-v2 #text-classification #autotrain #en #dataset-yigitkucuk/Epironica-dataset #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us 
## Validation Metrics

- Loss: 0.537
- Accuracy: 0.721
- Macro F1: 0.720
- Micro F1: 0.721
- Weighted F1: 0.720
- Macro Precision: 0.723
- Micro Precision: 0.721
- Weighted Precision: 0.723
- Macro Recall: 0.721
- Micro Recall: 0.721
- Weighted Recall: 0.721
- Problem type: Multi-class Classification
- CO2 Emissions (in grams): 3.2437
-  Model ID: 2994886333
-## Use with Python API