update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.71829420028644
+      value: 0.7175864613336908
 ---
 
 <!-- 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: 1.0860
-- F1: 0.7183
+- Loss: 0.6491
+- F1: 0.7176
 
 ## Model description
 
@@ -49,10 +49,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 7.2792011721188e-06
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 0
+- learning_rate: 6.923967812567773e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
 - 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     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.3747        | 1.0   | 11404 | 0.6515          | 0.7045 |
-| 0.6511        | 2.0   | 22808 | 0.7334          | 0.7188 |
-| 0.0362        | 3.0   | 34212 | 0.9498          | 0.7195 |
-| 1.0576        | 4.0   | 45616 | 1.0860          | 0.7183 |
+| 0.4391        | 1.0   | 2851  | 0.6591          | 0.6953 |
+| 0.6288        | 2.0   | 5702  | 0.6265          | 0.7158 |
+| 0.4071        | 3.0   | 8553  | 0.6401          | 0.7179 |
+| 0.6532        | 4.0   | 11404 | 0.6491          | 0.7176 |
 
 
 ### Framework versions