update model card README.md

README.md

@@ -1,11 +1,6 @@
 ---
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: bert-finetuned-ner
   results: []
@@ -17,12 +12,6 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-finetuned-ner
 
 This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0791
-- Precision: 0.7606
-- Recall: 0.8831
-- F1: 0.8173
-- Accuracy: 0.9853
 
 ## Model description
 
@@ -47,15 +36,13 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 87   | 0.0758          | 0.7044    | 0.7922 | 0.7457 | 0.9846   |
-| No log        | 2.0   | 174  | 0.0667          | 0.7619    | 0.8727 | 0.8136 | 0.9857   |
-| No log        | 3.0   | 261  | 0.0791          | 0.7606    | 0.8831 | 0.8173 | 0.9853   |
+| No log        | 1.0   | 87   | 0.0594          | 0.7613    | 0.8779 | 0.8154 | 0.9873   |
 
 
 ### Framework versions