test-ner

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0693
-- Precision: 0.3093
-- Recall: 0.2664
-- F1: 0.2863
-- Accuracy: 0.9788
+- Loss: 0.0699
+- Precision: 0.3475
+- Recall: 0.3068
+- F1: 0.3259
+- Accuracy: 0.9793
 
 ## Model description
 
@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1576        | 1.0   | 78   | 0.0892          | 0.1865    | 0.1264 | 0.1507 | 0.9736   |
-| 0.039         | 2.0   | 156  | 0.0693          | 0.3093    | 0.2664 | 0.2863 | 0.9788   |
+| 0.0803        | 1.0   | 78   | 0.0882          | 0.1874    | 0.0759 | 0.1081 | 0.9749   |
+| 0.0938        | 2.0   | 156  | 0.0699          | 0.3475    | 0.3068 | 0.3259 | 0.9793   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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