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 [mundo-go/my_ner_model](https://huggingface.co/mundo-go/my_ner_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0001
-- Precision: 1.0
-- Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- Loss: 0.0000
+- Precision: 1.0000
+- Recall: 1.0000
+- F1: 1.0000
+- Accuracy: 1.0000
 
 ## Model description
 
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 64   | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 2.0   | 128  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0015        | 1.0   | 1640 | 0.0001          | 0.9999    | 0.9999 | 0.9999 | 1.0000   |
+| 0.0002        | 2.0   | 3280 | 0.0000          | 1.0000    | 1.0000 | 1.0000 | 1.0000   |
 
 
 ### Framework versions