End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: Atheer174/my_awesome_wnut_model3
+base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_wnut_model3
 
-This model is a fine-tuned version of [Atheer174/my_awesome_wnut_model3](https://huggingface.co/Atheer174/my_awesome_wnut_model3) on an unknown dataset.
+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: 0.0102
-- Precision: 0.9975
-- Recall: 0.9979
-- F1: 0.9977
-- Accuracy: 0.9987
+- Loss: 0.0233
+- Precision: 0.9836
+- Recall: 0.9889
+- F1: 0.9863
+- Accuracy: 0.9932
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0005        | 1.0   | 2470 | 0.0102          | 0.9975    | 0.9979 | 0.9977 | 0.9987   |
+| 0.0371        | 1.0   | 2470 | 0.0233          | 0.9836    | 0.9889 | 0.9863 | 0.9932   |
 
 
 ### Framework versions