End of training

README.md

@@ -20,21 +20,21 @@ model-index:
       name: ner
       type: ner
       config: indian_names
-      split: train
+      split: test
       args: indian_names
     metrics:
     - name: Precision
       type: precision
-      value: 0.9948381144840311
+      value: 0.9752319346327347
     - name: Recall
       type: recall
-      value: 0.972891113354671
+      value: 0.9923783128356141
     - name: F1
       type: f1
-      value: 0.9837422213534031
+      value: 0.9837304142519855
     - name: Accuracy
       type: accuracy
-      value: 0.9932984044056051
+      value: 0.9730393535444438
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +44,11 @@ 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 ner dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0270
-- Precision: 0.9948
-- Recall: 0.9729
+- Loss: 0.1205
+- Precision: 0.9752
+- Recall: 0.9924
 - F1: 0.9837
-- Accuracy: 0.9933
+- Accuracy: 0.9730
 
 ## Model description
 
@@ -73,15 +73,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0875        | 1.0   | 501  | 0.0328          | 0.9923    | 0.9696 | 0.9808 | 0.9920   |
-| 0.0333        | 2.0   | 1002 | 0.0289          | 0.9935    | 0.9726 | 0.9830 | 0.9929   |
-| 0.0283        | 3.0   | 1503 | 0.0270          | 0.9948    | 0.9729 | 0.9837 | 0.9933   |
+| 0.0825        | 1.0   | 501  | 0.1031          | 0.9600    | 0.9917 | 0.9756 | 0.9770   |
+| 0.0337        | 2.0   | 1002 | 0.1491          | 0.9615    | 0.9942 | 0.9776 | 0.9648   |
+| 0.0285        | 3.0   | 1503 | 0.1169          | 0.9754    | 0.9913 | 0.9833 | 0.9723   |
+| 0.0249        | 4.0   | 2004 | 0.1054          | 0.9724    | 0.9921 | 0.9821 | 0.9783   |
+| 0.0232        | 5.0   | 2505 | 0.1205          | 0.9752    | 0.9924 | 0.9837 | 0.9730   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e942fc2c2e0cf90a94358d4e8fb861a7ba8f5b18e4a519bf8b20136cde373bc8
+oid sha256:2e0244434945ff5ece9135913ef6d72d16f68f4c9b42c7d0817dc2b502ff9fe5
 size 435605316