Update Model card

README.md

@@ -7,13 +7,30 @@ base_model:
 - microsoft/deberta-v3-base
 library_name: transformers
 ---
-- Training Notebook:
-[https://www.kaggle.com/code/shihhsuanchen/emotion-detection-train]
+# Training
+- Code: [Training Notebook](https://www.kaggle.com/code/shihhsuanchen/emotion-detection-train)
+- Criteria: Best validation loss
+- Training configuration:
 
-- Evaluation Notebook:
-[https://www.kaggle.com/code/shihhsuanchen/emotion-detection-eval]
-
-- Evaluation Results
+  ```json
+  {
+    "seed": 567,
+    "ddp": true,
+    "learning_rate": 5e-05,
+    "train_batch_size": 80,
+    "valid_batch_size": 80,
+    "lr_scheduler_type": "linear",
+    "num_epochs": 20,
+    "num_warmup_steps": 125,
+    "max_train_steps": null,
+    "max_valid_steps": null,
+    "max_length": 72
+  }
+  ```
+  
+# Evaluation
+- Code: [Evaluation Notebook](https://www.kaggle.com/code/shihhsuanchen/emotion-detection-eval)
+- Results
 | 	        |  sadness |   joy    |   love   |   anger  |   fear   | surprise | Total (Macro) |
 |-----------|----------|----------|----------|----------|----------|----------|---------------|
 | Accuracy  | 0.985420 | 0.965309 | 0.974359 | 0.983912 | 0.980392 | 0.985923 | 0.979219      |