End of training

README.md

@@ -5,9 +5,36 @@ tags:
 - generated_from_trainer
 datasets:
 - ner
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: Bert-NER
-  results: []
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: ner
+      type: ner
+      config: indian_names
+      split: train
+      args: indian_names
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9987202862934734
+    - name: Recall
+      type: recall
+      value: 0.9989804934411745
+    - name: F1
+      type: f1
+      value: 0.9988503729209022
+    - name: Accuracy
+      type: accuracy
+      value: 0.9993990151023617
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +43,12 @@ should probably proofread and complete it, then remove this comment. -->
 # Bert-NER
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0019
+- Precision: 0.9987
+- Recall: 0.9990
+- F1: 0.9989
+- Accuracy: 0.9994
 
 ## Model description
 
@@ -40,13 +73,15 @@ 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: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 486  | 0.0032          | 0.9972    | 0.9978 | 0.9975 | 0.9987   |
+| No log        | 1.0   | 486  | 0.0038          | 0.9961    | 0.9983 | 0.9972 | 0.9985   |
+| 0.0034        | 2.0   | 972  | 0.0024          | 0.9980    | 0.9990 | 0.9985 | 0.9992   |
+| 0.0041        | 3.0   | 1458 | 0.0019          | 0.9987    | 0.9990 | 0.9989 | 0.9994   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6efc6258367bfe92154bd4675d0aaf8b9fef9f66c565fe61b52330b872c1dc62
+oid sha256:1b921de0a75daa094b25b35771a06d4bd085822947ab3f35ce256d44788b212e
 size 265526309