Training complete

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: bert-base-cased
+base_model: huggingface-course/bert-finetuned-ner
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-finetuned-ner
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [huggingface-course/bert-finetuned-ner](https://huggingface.co/huggingface-course/bert-finetuned-ner) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0408
-- Precision: 0.9472
-- Recall: 0.9544
-- F1: 0.9508
-- Accuracy: 0.9915
+- Loss: 0.0731
+- Precision: 0.9344
+- Recall: 0.9524
+- F1: 0.9433
+- Accuracy: 0.9867
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.05          | 1.0   | 1756 | 0.0479          | 0.9280    | 0.9389 | 0.9334 | 0.9888   |
-| 0.0247        | 2.0   | 3512 | 0.0375          | 0.9465    | 0.9534 | 0.9499 | 0.9913   |
-| 0.0145        | 3.0   | 5268 | 0.0408          | 0.9472    | 0.9544 | 0.9508 | 0.9915   |
+| 0.0273        | 1.0   | 1756 | 0.0761          | 0.9250    | 0.9424 | 0.9336 | 0.9849   |
+| 0.0183        | 2.0   | 3512 | 0.0671          | 0.9363    | 0.9505 | 0.9434 | 0.9865   |
+| 0.0077        | 3.0   | 5268 | 0.0731          | 0.9344    | 0.9524 | 0.9433 | 0.9867   |
 
 
 ### Framework versions