Training complete

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: bert-base-cased
+base_model: albert/albert-base-v1
 tags:
 - generated_from_trainer
 metrics:
@@ -19,13 +19,13 @@ 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 [albert/albert-base-v1](https://huggingface.co/albert/albert-base-v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0854
-- Precision: 0.9707
-- Recall: 0.9773
-- F1: 0.9740
-- Accuracy: 0.9845
+- Loss: 0.0994
+- Precision: 0.9628
+- Recall: 0.9740
+- F1: 0.9683
+- Accuracy: 0.9813
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0627        | 1.0   | 5285  | 0.1139          | 0.9563    | 0.9675 | 0.9619 | 0.9785   |
-| 0.0502        | 2.0   | 10570 | 0.0914          | 0.9675    | 0.9744 | 0.9709 | 0.9829   |
-| 0.0686        | 3.0   | 15855 | 0.0854          | 0.9707    | 0.9773 | 0.9740 | 0.9845   |
+| 0.0688        | 1.0   | 5285  | 0.1227          | 0.9555    | 0.9670 | 0.9612 | 0.9769   |
+| 0.0583        | 2.0   | 10570 | 0.1051          | 0.9581    | 0.9723 | 0.9652 | 0.9803   |
+| 0.0798        | 3.0   | 15855 | 0.0994          | 0.9628    | 0.9740 | 0.9683 | 0.9813   |
 
 
 ### Framework versions