update model card README.md

README.md

@@ -2,12 +2,28 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- emotion
 metrics:
 - accuracy
 - f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.926
+    - name: F1
+      type: f1
+      value: 0.9258450981645597
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-emotion
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2198
-- Accuracy: 0.923
-- F1: 0.9233
+- Loss: 0.2196
+- Accuracy: 0.926
+- F1: 0.9258
 
 ## Model description
 
@@ -50,12 +66,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8477        | 1.0   | 250  | 0.3206          | 0.902    | 0.8995 |
-| 0.2549        | 2.0   | 500  | 0.2198          | 0.923    | 0.9233 |
+| 0.8279        | 1.0   | 250  | 0.3208          | 0.9025   | 0.8979 |
+| 0.2538        | 2.0   | 500  | 0.2196          | 0.926    | 0.9258 |
 
 
 ### Framework versions
 
-- Transformers 4.16.0
-- Pytorch 1.10.0+cu111
-- Tokenizers 0.11.0
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1