update model card README.md

README.md

@@ -1,31 +1,11 @@
 ---
-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
-      config: split
-      split: validation
-      args: split
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.925
-    - name: F1
-      type: f1
-      value: 0.9251030465068828
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +13,7 @@ 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.
-It achieves the following results on the evaluation set:
-- Loss: 0.2205
-- Accuracy: 0.925
-- F1: 0.9251
+This model was trained from scratch on the emotion dataset.
 
 ## Model description
 
@@ -64,17 +40,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.828         | 1.0   | 250  | 0.3206          | 0.907    | 0.9032 |
-| 0.2516        | 2.0   | 500  | 0.2205          | 0.925    | 0.9251 |
-
-
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.0.1+cu118
+- Transformers 4.28.1
+- Pytorch 2.0.1+cu117
 - Datasets 2.13.0
 - Tokenizers 0.13.3