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: 0.8590
-- Precision: 0.8444
-- Recall: 0.8474
-- F1: 0.8454
-- Accuracy: 0.8709
+- Loss: 0.8637
+- Precision: 0.8392
+- Recall: 0.8339
+- F1: 0.8360
+- Accuracy: 0.8630
 
 ## Model description
 
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-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 |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.8901        | 1.0   | 510  | 0.5727          | 0.7730    | 0.8217 | 0.7887 | 0.8439   |
-| 0.445         | 2.0   | 1020 | 0.5276          | 0.7930    | 0.8453 | 0.8123 | 0.8444   |
-| 0.2825        | 3.0   | 1530 | 0.7059          | 0.8374    | 0.8205 | 0.8256 | 0.8606   |
-| 0.2037        | 4.0   | 2040 | 0.7658          | 0.8562    | 0.8265 | 0.8399 | 0.8660   |
-| 0.1618        | 5.0   | 2550 | 0.7571          | 0.8332    | 0.8438 | 0.8377 | 0.8640   |
-| 0.1141        | 6.0   | 3060 | 0.8227          | 0.8499    | 0.8409 | 0.8444 | 0.8694   |
-| 0.0934        | 7.0   | 3570 | 0.7924          | 0.8377    | 0.8415 | 0.8378 | 0.8665   |
-| 0.0881        | 8.0   | 4080 | 0.8132          | 0.8365    | 0.8434 | 0.8387 | 0.8699   |
-| 0.065         | 9.0   | 4590 | 0.8545          | 0.8402    | 0.8430 | 0.8403 | 0.8670   |
-| 0.0562        | 10.0  | 5100 | 0.8590          | 0.8444    | 0.8474 | 0.8454 | 0.8709   |
+| 0.9492        | 1.0   | 510  | 0.5973          | 0.7572    | 0.8287 | 0.7836 | 0.8434   |
+| 0.4661        | 2.0   | 1020 | 0.5080          | 0.8146    | 0.8535 | 0.8311 | 0.8567   |
+| 0.2954        | 3.0   | 1530 | 0.6910          | 0.8283    | 0.8231 | 0.8245 | 0.8591   |
+| 0.2263        | 4.0   | 2040 | 0.7367          | 0.8448    | 0.8293 | 0.8363 | 0.8635   |
+| 0.1749        | 5.0   | 2550 | 0.7399          | 0.8402    | 0.8373 | 0.8383 | 0.8650   |
+| 0.1273        | 6.0   | 3060 | 0.7759          | 0.8352    | 0.8414 | 0.8377 | 0.8689   |
+| 0.1051        | 7.0   | 3570 | 0.8864          | 0.8375    | 0.8271 | 0.8308 | 0.8616   |
+| 0.0877        | 8.0   | 4080 | 0.8407          | 0.8327    | 0.8360 | 0.8335 | 0.8625   |
+| 0.0781        | 9.0   | 4590 | 0.8586          | 0.8345    | 0.8362 | 0.8345 | 0.8645   |
+| 0.0627        | 10.0  | 5100 | 0.8637          | 0.8392    | 0.8339 | 0.8360 | 0.8630   |
 
 
 ### Framework versions