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: 0.927
-    - name: F1
-      type: f1
-      value: 0.9267052571877288
+  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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2146
-- Accuracy: 0.927
-- F1: 0.9267
+- Loss: 0.2057
+- Accuracy: 0.9255
+- F1: 0.9257
 
 ## Model description
 
@@ -66,13 +50,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.8357        | 1.0   | 250  | 0.3098          | 0.905    | 0.9035 |
-| 0.25          | 2.0   | 500  | 0.2146          | 0.927    | 0.9267 |
+| 0.8084        | 1.0   | 250  | 0.2883          | 0.9125   | 0.9110 |
+| 0.2371        | 2.0   | 500  | 0.2057          | 0.9255   | 0.9257 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.5.0
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Transformers 4.25.1
+- Pytorch 1.12.0+cu113
+- Tokenizers 0.13.2