Update README.md

README.md

@@ -1,51 +1,53 @@
 ---
 license: mit
 tags:
-- generated_from_trainer
+    - generated_from_trainer
 datasets:
-- go_emotions
+    - go_emotions
 metrics:
-- accuracy
-- precision
-- recall
-- f1
+    - f1
 model-index:
-- name: roberta-large-go-emotions-3
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: go_emotions
-      type: go_emotions
-      args: simplified
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.44452635458901585
-    - name: Precision
-      type: precision
-      value: 0.5241481690233145
-    - name: Recall
-      type: recall
-      value: 0.532779745019394
-    - name: F1
-      type: f1
-      value: 0.5160548869396229
+    - name: roberta-large-go-emotions-3
+      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
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# roberta-large-go-emotions-3
+# 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 evaluation set:
-- Loss: 0.0956
-- Accuracy: 0.4445
-- Precision: 0.5241
-- Recall: 0.5328
-- F1: 0.5161
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset. It achieves the following results on the test set (with a threshold of 0.15):
+
+- Accuracy: 0.4363
+- Precision: 0.4955
+- Recall: 0.5655
+- F1: 0.5204
 
 ## Model description
 
@@ -64,26 +66,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
+
 - learning_rate: 5e-05
 - train_batch_size: 128
 - eval_batch_size: 128
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 340  | 0.0862          | 0.4292   | 0.5012    | 0.5558 | 0.5208 |
-| 0.0597        | 2.0   | 680  | 0.0924          | 0.4329   | 0.5164    | 0.5362 | 0.5151 |
-| 0.0597        | 3.0   | 1020 | 0.0956          | 0.4445   | 0.5241    | 0.5328 | 0.5161 |
-
+| 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        | 1.0   | 0.0862          | 0.4292   | 0.5012    | 0.5558 | 0.5208 |
+| 0.0597        | 2.0   | 0.0924          | 0.4329   | 0.5164    | 0.5362 | 0.5151 |
+| 0.0597        | 3.0   | 0.0956          | 0.4445   | 0.5241    | 0.5328 | 0.5161 |
 
 ### Framework versions
 
 - Transformers 4.20.1
 - Pytorch 1.12.0
 - Datasets 2.1.0
-- Tokenizers 0.12.1
+- Tokenizers 0.12.1