update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6710133670361691
+      value: 0.6690050628690761
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6614
-- F1: 0.6710
+- Loss: 1.6608
+- F1: 0.6690
 
 ## Model description
 
@@ -49,7 +49,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.6375567293432486e-05
+- learning_rate: 2.6774391860025942e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 31415
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.657         | 1.0   | 716  | 0.6144          | 0.6545 |
-| 0.565         | 2.0   | 1432 | 0.8562          | 0.6489 |
-| 0.3036        | 3.0   | 2148 | 1.4496          | 0.6848 |
-| 0.1809        | 4.0   | 2864 | 1.6614          | 0.6710 |
+| 0.6547        | 1.0   | 716  | 0.6173          | 0.6508 |
+| 0.57          | 2.0   | 1432 | 0.8629          | 0.6577 |
+| 0.2955        | 3.0   | 2148 | 1.4836          | 0.6722 |
+| 0.1903        | 4.0   | 2864 | 1.6608          | 0.6690 |
 
 
 ### Framework versions