update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7693968253968255
+      value: 0.7679568806891273
 ---
 
 <!-- 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: 0.8833
-- F1: 0.7694
+- Loss: 0.8438
+- F1: 0.7680
 
 ## Model description
 
@@ -49,10 +49,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00010427249519590366
-- train_batch_size: 64
-- eval_batch_size: 64
-- seed: 0
+- learning_rate: 5.436235805743952e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 1234567
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 4
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5448        | 1.0   | 141  | 0.4788          | 0.7681 |
-| 0.1701        | 2.0   | 282  | 0.5266          | 0.7672 |
-| 0.1318        | 3.0   | 423  | 0.7216          | 0.7453 |
-| 0.0084        | 4.0   | 564  | 0.8833          | 0.7694 |
+| 0.6027        | 1.0   | 282  | 0.5186          | 0.7209 |
+| 0.3537        | 2.0   | 564  | 0.4989          | 0.7619 |
+| 0.0969        | 3.0   | 846  | 0.6405          | 0.7697 |
+| 0.0514        | 4.0   | 1128 | 0.8438          | 0.7680 |
 
 
 ### Framework versions