update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6672221483289932
+      value: 0.6764136413641364
 ---
 
 <!-- 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: 0.6293
-- F1: 0.6672
+- Loss: 1.6408
+- F1: 0.6764
 
 ## Model description
 
@@ -55,13 +55,16 @@ The following hyperparameters were used during training:
 - seed: 1234567
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.6503        | 1.0   | 716  | 0.6293          | 0.6672 |
+| 0.6569        | 1.0   | 716  | 0.6026          | 0.6759 |
+| 0.5359        | 2.0   | 1432 | 0.8734          | 0.6580 |
+| 0.3052        | 3.0   | 2148 | 1.3513          | 0.6799 |
+| 0.1821        | 4.0   | 2864 | 1.6408          | 0.6764 |
 
 
 ### Framework versions