End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.0017
-- Precision: 0.7972
-- Recall: 0.8205
-- F1: 0.8087
-- Accuracy: 0.9996
+- Loss: 0.0019
+- Precision: 0.7429
+- Recall: 0.7192
+- F1: 0.7309
+- Accuracy: 0.9995
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0042        | 1.0   | 724  | 0.0024          | 0.6311    | 0.7582 | 0.6889 | 0.9994   |
-| 0.0008        | 2.0   | 1448 | 0.0020          | 0.8314    | 0.7949 | 0.8127 | 0.9996   |
-| 0.0004        | 3.0   | 2172 | 0.0017          | 0.7972    | 0.8205 | 0.8087 | 0.9996   |
+| 0.0023        | 1.0   | 724  | 0.0033          | 0.6791    | 0.4589 | 0.5477 | 0.9992   |
+| 0.0014        | 2.0   | 1448 | 0.0021          | 0.7218    | 0.6575 | 0.6882 | 0.9994   |
+| 0.001         | 3.0   | 2172 | 0.0019          | 0.7429    | 0.7192 | 0.7309 | 0.9995   |
 
 
 ### Framework versions

runs/Feb13_20-10-48_b85793d3c581/events.out.tfevents.1707855069.b85793d3c581.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15596d58eb73dbcc0ebc887b3e420866dca39e64d2a0565a1cd3387b284a7eba
-size 23444
+oid sha256:d1458ee6f1b4ed267c155cfdc94c3a6b1eef5f8e7576b7401ac3891a4aacc928
+size 23798