Training complete

README.md

@@ -1,6 +1,6 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+license: mit
+base_model: dslim/bert-base-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 the None dataset.
+This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1718
-- Precision: 0.8772
-- Recall: 0.2754
-- F1: 0.2846
-- Accuracy: 0.8235
+- Loss: 0.1297
+- Precision: 0.8328
+- Recall: 0.3864
+- F1: 0.3321
+- Accuracy: 0.8676
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 68   | 0.1821          | 0.8035    | 0.2405 | 0.2389 | 0.8162   |
-| No log        | 2.0   | 136  | 0.1837          | 0.8876    | 0.2788 | 0.2806 | 0.8162   |
-| No log        | 3.0   | 204  | 0.1718          | 0.8772    | 0.2754 | 0.2846 | 0.8235   |
+| No log        | 1.0   | 51   | 0.1687          | 0.6907    | 0.2347 | 0.2279 | 0.8456   |
+| No log        | 2.0   | 102  | 0.1344          | 0.8467    | 0.3308 | 0.2812 | 0.8603   |
+| No log        | 3.0   | 153  | 0.1297          | 0.8328    | 0.3864 | 0.3321 | 0.8676   |
 
 
 ### Framework versions