update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_trainer
 datasets:
@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.5928384279475983
+      value: 0.6009707054948864
     - name: Accuracy
       type: accuracy
-      value: 0.49428676741614447
+      value: 0.49963140434942865
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # go_emo_gpt
 
-This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the go_emotions dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the go_emotions dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0978
-- F1: 0.5928
-- Roc Auc: 0.7602
-- Accuracy: 0.4943
+- Loss: 0.0964
+- F1: 0.6010
+- Roc Auc: 0.7659
+- Accuracy: 0.4996
 
 ## Model description
 
@@ -70,9 +70,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | F1     | Roc Auc | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:--------:|
-| 0.1086        | 1.0   | 43410  | 0.0993          | 0.5690 | 0.7444  | 0.4740   |
-| 0.1003        | 2.0   | 86820  | 0.0969          | 0.5885 | 0.7552  | 0.4893   |
-| 0.0858        | 3.0   | 130230 | 0.0978          | 0.5928 | 0.7602  | 0.4943   |
+| 0.105         | 1.0   | 43410  | 0.0967          | 0.5795 | 0.7476  | 0.4757   |
+| 0.0949        | 2.0   | 86820  | 0.0938          | 0.6012 | 0.7636  | 0.5035   |
+| 0.0837        | 3.0   | 130230 | 0.0964          | 0.6010 | 0.7659  | 0.4996   |
 
 
 ### Framework versions