update model card README.md

README.md

@@ -20,11 +20,11 @@ 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: 0.7859
-- Precision: 0.8423
-- Recall: 0.8487
-- F1: 0.8452
-- Accuracy: 0.8769
+- Loss: 0.7803
+- Precision: 0.8448
+- Recall: 0.8438
+- F1: 0.8437
+- Accuracy: 0.8783
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.908         | 1.0   | 514  | 0.5671          | 0.7815    | 0.8256 | 0.7960 | 0.8511   |
-| 0.4351        | 2.0   | 1028 | 0.5301          | 0.8371    | 0.8439 | 0.8400 | 0.8715   |
-| 0.2993        | 3.0   | 1542 | 0.5461          | 0.8250    | 0.8605 | 0.8401 | 0.8754   |
-| 0.2186        | 4.0   | 2056 | 0.6724          | 0.8348    | 0.8517 | 0.8417 | 0.8745   |
-| 0.168         | 5.0   | 2570 | 0.6923          | 0.8410    | 0.8441 | 0.8417 | 0.8754   |
-| 0.1302        | 6.0   | 3084 | 0.6834          | 0.8301    | 0.8600 | 0.8432 | 0.8740   |
-| 0.1094        | 7.0   | 3598 | 0.7413          | 0.8400    | 0.8515 | 0.8453 | 0.8774   |
-| 0.0876        | 8.0   | 4112 | 0.7654          | 0.8383    | 0.8529 | 0.8452 | 0.8788   |
-| 0.0833        | 9.0   | 4626 | 0.7748          | 0.8474    | 0.8530 | 0.8499 | 0.8798   |
-| 0.0593        | 10.0  | 5140 | 0.7859          | 0.8423    | 0.8487 | 0.8452 | 0.8769   |
+| 1.0001        | 1.0   | 514  | 0.6163          | 0.7620    | 0.8133 | 0.7790 | 0.8394   |
+| 0.4832        | 2.0   | 1028 | 0.5556          | 0.8131    | 0.8284 | 0.8166 | 0.8623   |
+| 0.3307        | 3.0   | 1542 | 0.5381          | 0.8168    | 0.8425 | 0.8254 | 0.8691   |
+| 0.2429        | 4.0   | 2056 | 0.6014          | 0.8289    | 0.8455 | 0.8353 | 0.8720   |
+| 0.1849        | 5.0   | 2570 | 0.6600          | 0.8367    | 0.8408 | 0.8375 | 0.8740   |
+| 0.1564        | 6.0   | 3084 | 0.6724          | 0.8219    | 0.8491 | 0.8333 | 0.8696   |
+| 0.1316        | 7.0   | 3598 | 0.7511          | 0.8536    | 0.8481 | 0.8501 | 0.8808   |
+| 0.1037        | 8.0   | 4112 | 0.7284          | 0.8438    | 0.8494 | 0.8461 | 0.8798   |
+| 0.0946        | 9.0   | 4626 | 0.7584          | 0.8452    | 0.8470 | 0.8457 | 0.8798   |
+| 0.0731        | 10.0  | 5140 | 0.7803          | 0.8448    | 0.8438 | 0.8437 | 0.8783   |
 
 
 ### Framework versions