update model card README.md

README.md

@@ -17,9 +17,9 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3741
-- Accuracy: 0.8411
-- F1: 0.8015
+- Loss: 1.0970
+- Accuracy: 0.8681
+- F1: 0.8376
 
 ## Model description
 
@@ -38,38 +38,33 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-06
+- learning_rate: 2e-05
 - 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: 20
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 167  | 0.6611          | 0.6612   | 0.3722 |
-| No log        | 2.0   | 334  | 0.5848          | 0.7421   | 0.6325 |
-| 0.6188        | 3.0   | 501  | 0.5176          | 0.7601   | 0.7080 |
-| 0.6188        | 4.0   | 668  | 0.4783          | 0.7706   | 0.7193 |
-| 0.6188        | 5.0   | 835  | 0.4566          | 0.7841   | 0.7273 |
-| 0.455         | 6.0   | 1002 | 0.4415          | 0.7946   | 0.7360 |
-| 0.455         | 7.0   | 1169 | 0.4250          | 0.8096   | 0.7703 |
-| 0.455         | 8.0   | 1336 | 0.4146          | 0.8186   | 0.7713 |
-| 0.3881        | 9.0   | 1503 | 0.4069          | 0.8261   | 0.7803 |
-| 0.3881        | 10.0  | 1670 | 0.3968          | 0.8321   | 0.7926 |
-| 0.3881        | 11.0  | 1837 | 0.3916          | 0.8351   | 0.7948 |
-| 0.3493        | 12.0  | 2004 | 0.3865          | 0.8426   | 0.8037 |
-| 0.3493        | 13.0  | 2171 | 0.3822          | 0.8426   | 0.8045 |
-| 0.3493        | 14.0  | 2338 | 0.3802          | 0.8456   | 0.8068 |
-| 0.3239        | 15.0  | 2505 | 0.3769          | 0.8471   | 0.8111 |
-| 0.3239        | 16.0  | 2672 | 0.3756          | 0.8441   | 0.8060 |
-| 0.3239        | 17.0  | 2839 | 0.3749          | 0.8411   | 0.8015 |
-| 0.3104        | 18.0  | 3006 | 0.3742          | 0.8396   | 0.8000 |
-| 0.3104        | 19.0  | 3173 | 0.3738          | 0.8396   | 0.8000 |
-| 0.3104        | 20.0  | 3340 | 0.3741          | 0.8411   | 0.8015 |
+| No log        | 1.0   | 167  | 0.3828          | 0.8501   | 0.8031 |
+| No log        | 2.0   | 334  | 0.4787          | 0.8456   | 0.8275 |
+| 0.2101        | 3.0   | 501  | 0.6186          | 0.8666   | 0.8367 |
+| 0.2101        | 4.0   | 668  | 0.7201          | 0.8546   | 0.8265 |
+| 0.2101        | 5.0   | 835  | 0.7675          | 0.8651   | 0.8346 |
+| 0.0339        | 6.0   | 1002 | 0.8561          | 0.8681   | 0.8434 |
+| 0.0339        | 7.0   | 1169 | 0.8898          | 0.8681   | 0.8382 |
+| 0.0339        | 8.0   | 1336 | 0.9854          | 0.8711   | 0.8436 |
+| 0.0069        | 9.0   | 1503 | 0.9919          | 0.8711   | 0.8407 |
+| 0.0069        | 10.0  | 1670 | 1.0695          | 0.8561   | 0.8280 |
+| 0.0069        | 11.0  | 1837 | 1.0542          | 0.8666   | 0.8349 |
+| 0.0007        | 12.0  | 2004 | 1.0896          | 0.8681   | 0.8370 |
+| 0.0007        | 13.0  | 2171 | 1.1001          | 0.8666   | 0.8349 |
+| 0.0007        | 14.0  | 2338 | 1.0888          | 0.8606   | 0.8312 |
+| 0.0012        | 15.0  | 2505 | 1.0970          | 0.8681   | 0.8376 |
 
 
 ### Framework versions