Update README.md

README.md

@@ -1,14 +1,45 @@
 ---
 tags:
+- autotrain
 - text-classification
 language:
 - en
+widget:
+- text: "Oh, the tragedy!"
 datasets:
-- yigitkucuk/poems-dataset
-license: gpl-3.0
+- yigitkucuk/Epironica-dataset
+co2_eq_emissions:
+  emissions: 3.243662516902224
 ---
 
-A Multi-Class Text-Classification Model that Detects the Irony in Text Prompts. 
+## Validation Metrics
 
-- irony
-- non_irony
+- 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)
+```