update model card README.md

README.md

@@ -2,28 +2,12 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- emotion
 metrics:
 - accuracy
 - f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: emotion
-      type: emotion
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.919
-    - name: F1
-      type: f1
-      value: 0.9189110420711917
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +15,11 @@ 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 the emotion dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2325
-- Accuracy: 0.919
-- F1: 0.9189
+- Loss: 0.2182
+- Accuracy: 0.926
+- F1: 0.9258
 
 ## Model description
 
@@ -66,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8852        | 1.0   | 250  | 0.3638          | 0.8805   | 0.8716 |
-| 0.2748        | 2.0   | 500  | 0.2325          | 0.919    | 0.9189 |
+| 0.8319        | 1.0   | 250  | 0.3173          | 0.904    | 0.9008 |
+| 0.2494        | 2.0   | 500  | 0.2182          | 0.926    | 0.9258 |
 
 
 ### Framework versions
 
 - Transformers 4.13.0
-- Pytorch 1.11.0+cu113
+- Pytorch 1.12.0+cu113
 - Datasets 1.16.1
 - Tokenizers 0.10.3