update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6846494013982913
+      value: 0.6610606215436072
 ---
 
 <!-- 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: 0.7471
-- F1: 0.6846
+- Loss: 1.3749
+- F1: 0.6611
 
 ## Model description
 
@@ -49,9 +49,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5.9081917331090794e-05
-- train_batch_size: 64
-- eval_batch_size: 64
+- learning_rate: 9.623266809785401e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 0
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,10 +61,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 45   | 0.6202          | 0.6355 |
-| No log        | 2.0   | 90   | 0.5939          | 0.6859 |
-| No log        | 3.0   | 135  | 0.7215          | 0.6761 |
-| No log        | 4.0   | 180  | 0.7471          | 0.6846 |
+| 0.5456        | 1.0   | 179  | 0.6118          | 0.6654 |
+| 0.4           | 2.0   | 358  | 0.6933          | 0.6453 |
+| 0.0957        | 3.0   | 537  | 0.9969          | 0.6299 |
+| 0.0483        | 4.0   | 716  | 1.3749          | 0.6611 |
 
 
 ### Framework versions