update model card README.md

README.md

@@ -1,40 +1,37 @@
 ---
 license: mit
 tags:
-    - generated_from_trainer
+- generated_from_trainer
 datasets:
-    - go_emotions
+- go_emotions
 metrics:
-    - f1
+- accuracy
+- precision
+- recall
+- f1
 model-index:
-    - name: roberta-large-go-emotions-2
-      results:
-          - task:
-                name: Text Classification
-                type: text-classification
-            dataset:
-                name: go_emotions
-                type: multilabel_classification
-                config: simplified
-                split: test
-                args: simplified
-            metrics:
-                - name: F1
-                  type: f1
-                  value: 0.5204
-          - task:
-                name: Text Classification
-                type: text-classification
-            dataset:
-                name: go_emotions
-                type: multilabel_classification
-                config: simplified
-                split: validation
-                args: simplified
-            metrics:
-                - name: F1
-                  type: f1
-                  value: 0.5208
+- name: roberta-large-go-emotions-2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: go_emotions
+      type: go_emotions
+      args: simplified
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.4432362698120162
+    - name: Precision
+      type: precision
+      value: 0.5075947480171396
+    - name: Recall
+      type: recall
+      value: 0.5249481075365657
+    - name: F1
+      type: f1
+      value: 0.5111051084102828
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,14 +39,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-large-go-emotions-2
 
-This model is a fine-tuned version of [tasinhoque/roberta-large-go-emotions](https://huggingface.co/tasinhoque/roberta-large-go-emotions) on the go_emotions dataset.
-It achieves the following results on the test set (with a threshold of 0.15):
-
-- Loss: 0.0956
-- Accuracy: 0.4292
-- Precision: 0.5012
-- Recall: 0.5558
-- F1: 0.5208
+This model is a fine-tuned version of [tasinhoque/roberta-large-go-emotions-2](https://huggingface.co/tasinhoque/roberta-large-go-emotions-2) on the go_emotions dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1029
+- Accuracy: 0.4432
+- Precision: 0.5076
+- Recall: 0.5249
+- F1: 0.5111
 
 ## Model description
 
@@ -68,7 +64,6 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-
 - learning_rate: 5e-05
 - train_batch_size: 128
 - eval_batch_size: 128
@@ -79,14 +74,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Validation Loss | Accuracy | Precision | Recall | F1     |
-| ------------- | ----- | --------------- | -------- | --------- | ------ | ------ |
-| No log        | 1.0   | 0.0889          | 0.4043   | 0.4807    | 0.4568 | 0.4446 |
-| 0.1062        | 2.0   | 0.0828          | 0.4113   | 0.4608    | 0.5363 | 0.4868 |
-| 0.1062        | 3.0   | 0.0813          | 0.4201   | 0.5198    | 0.5612 | 0.5227 |
-| No log        | 4.0   | 0.0862          | 0.4292   | 0.5012    | 0.5558 | 0.5208 |
-| 0.0597        | 5.0   | 0.0924          | 0.4329   | 0.5164    | 0.5362 | 0.5151 |
-| 0.0597        | 6.0   | 0.0956          | 0.4445   | 0.5241    | 0.5328 | 0.5161 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 340  | 0.0962          | 0.4648   | 0.5138    | 0.5277 | 0.5151 |
+| 0.0458        | 2.0   | 680  | 0.0962          | 0.4462   | 0.5257    | 0.5270 | 0.5203 |
+| 0.0458        | 3.0   | 1020 | 0.1029          | 0.4432   | 0.5076    | 0.5249 | 0.5111 |
+
 
 ### Framework versions