Model save

README.md

@@ -4,7 +4,7 @@ base_model: neuralmind/bert-base-portuguese-cased
 tags:
 - generated_from_trainer
 datasets:
-- conll2003
+- lener_br
 metrics:
 - precision
 - recall
@@ -17,24 +17,24 @@ model-index:
       name: Token Classification
       type: token-classification
     dataset:
-      name: conll2003
-      type: conll2003
-      config: conll2003
+      name: lener_br
+      type: lener_br
+      config: lener_br
       split: test
-      args: conll2003
+      args: lener_br
     metrics:
     - name: Precision
       type: precision
-      value: 0.8545598048360479
+      value: 0.8717564870259481
     - name: Recall
       type: recall
-      value: 0.8687723393391202
+      value: 0.8995880535530381
     - name: F1
       type: f1
-      value: 0.8616074658178399
+      value: 0.88545362392296
     - name: Accuracy
       type: accuracy
-      value: 0.9646568001175846
+      value: 0.9836487420412604
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -42,13 +42,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-portuguese-cased-finetuned-ner
 
-This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the conll2003 dataset.
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the lener_br dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1869
-- Precision: 0.8546
-- Recall: 0.8688
-- F1: 0.8616
-- Accuracy: 0.9647
+- Loss: 0.0652
+- Precision: 0.8718
+- Recall: 0.8996
+- F1: 0.8855
+- Accuracy: 0.9836
 
 ## Model description
 
@@ -79,9 +79,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.265         | 1.0   | 878  | 0.1812          | 0.8254    | 0.8378 | 0.8316 | 0.9576   |
-| 0.0709        | 2.0   | 1756 | 0.1843          | 0.8367    | 0.8592 | 0.8478 | 0.9611   |
-| 0.048         | 3.0   | 2634 | 0.1869          | 0.8546    | 0.8688 | 0.8616 | 0.9647   |
+| No log        | 1.0   | 490  | 0.0911          | 0.8063    | 0.7703 | 0.7879 | 0.9734   |
+| 0.1901        | 2.0   | 980  | 0.0665          | 0.8525    | 0.8929 | 0.8722 | 0.9819   |
+| 0.0419        | 3.0   | 1470 | 0.0652          | 0.8718    | 0.8996 | 0.8855 | 0.9836   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d8784092698007285800d0104ffa67f061e65ef7d0fbd046d38dd27236fc96c
+oid sha256:38a8a62c68029a9b3442a5eca9b22472d8d9b91123f28d93ff3aaf607d2814d8
 size 433438310