Update README.md

README.md

@@ -38,6 +38,30 @@ After that, the weights were loaded in a new environment and another epoch of tr
 As the performance decreased in the fifth epoch, further training was discontinued. 
 
 After the 4th epoch, the model achieved a Macro F1 score of 53% on the test set, but the fifth epoch reduced the performance. 
+The model on commit "5b532728cef22ca9e9bacc8ff9f5687654d36bf3" attains the following scores on the test set:
+- Accuracy: 0.4271236410539893
+- Precision: 0.5101494353184485
+- Recall: 0.5763722014150806
+- macro-F1: 0.5297380709491947
+
+Load the model using this syntax:
+```py
+import os
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+os.environ["TOKENIZERS_PARALLELISM"] = "FALSE"
+
+model_name = "tasinhoque/text-classification-goemotions"
+commit = "5b532728cef22ca9e9bacc8ff9f5687654d36bf3"
+tokenizer = AutoTokenizer.from_pretrained(model_name, revision=commit)
+
+model = AutoModelForSequenceClassification.from_pretrained(
+    model_name, 
+    num_labels=n_emotion, 
+    problem_type="multi_label_classification", 
+    revision=commit
+).to(device)
+```
 
 ## Intended uses & limitations