update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6646448523543496
+      value: 0.6785912258473235
 ---
 
 <!-- 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: 1.6273
-- F1: 0.6646
+- Loss: 1.5669
+- F1: 0.6786
 
 ## 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: 42
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6646        | 1.0   | 716  | 0.6411          | 0.5642 |
-| 0.5686        | 2.0   | 1432 | 0.7748          | 0.6613 |
-| 0.3953        | 3.0   | 2148 | 1.3449          | 0.6600 |
-| 0.2311        | 4.0   | 2864 | 1.6273          | 0.6646 |
+| 0.6669        | 1.0   | 716  | 0.6291          | 0.6198 |
+| 0.5655        | 2.0   | 1432 | 0.7332          | 0.6771 |
+| 0.3764        | 3.0   | 2148 | 1.4193          | 0.6554 |
+| 0.229         | 4.0   | 2864 | 1.5669          | 0.6786 |
 
 
 ### Framework versions