update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1037
-- F1: 0.9551
+- Loss: 0.4303
+- F1: 0.7894
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 46
-- eval_batch_size: 46
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,10 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4075        | 1.64  | 400  | 0.2744          | 0.8378 |
-| 0.2676        | 3.28  | 800  | 0.1885          | 0.9032 |
-| 0.2048        | 4.92  | 1200 | 0.1329          | 0.9401 |
-| 0.1544        | 6.56  | 1600 | 0.1037          | 0.9551 |
+| 0.3979        | 2.29  | 400  | 0.3792          | 0.7761 |
+| 0.2479        | 4.57  | 800  | 0.3911          | 0.7777 |
+| 0.1793        | 6.86  | 1200 | 0.4303          | 0.7894 |
 
 
 ### Framework versions