Update README.md

README.md

@@ -3,14 +3,41 @@ tags:
 - text-classification
 language:
 - en
+widget:
+- text: "Oh, the tragedy!"
 datasets:
-- yigitkucuk/poems-dataset
-license: gpl-3.0
+- yigitkucuk/sentimentale-dataset
+co2_eq_emissions:
+  emissions: 0.7402856123778213
 ---
 
-A Multi-Class Text-Classification Model that Evaluates the Sentiment in Poetic Text Prompts. 
+## Validation Metrics
 
-- positive
-- mixed
-- no_impact
-- negative
+- Loss: 0.576
+- Accuracy: 0.827
+- Macro F1: 0.711
+- Micro F1: 0.827
+- Weighted F1: 0.827
+- Macro Precision: 0.708
+- Micro Precision: 0.827
+- Weighted Precision: 0.828
+- Macro Recall: 0.716
+- Micro Recall: 0.827
+- Weighted Recall: 0.827
+- Problem type: Multi-class Classification
+- CO2 Emissions (in grams): 0.7403
+- Model ID: 3099088026
+
+## Use with Python API
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Sentimentale", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Sentimentale", use_auth_token=True)
+
+inputs = tokenizer("Oh, the tragedy!", return_tensors="pt")
+
+outputs = model(**inputs)
+```