tvtcm
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bert-base-portuguese-cased-finetuned-ner

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tvtcm commited on Oct 28, 2023

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158565d

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1 Parent(s): b5ab7c8

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README.md +12 -12
pytorch_model.bin +1 -1

README.md CHANGED Viewed

@@ -25,16 +25,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.8717564870259481
     - name: Recall
       type: recall
-      value: 0.8995880535530381
     - name: F1
       type: f1
-      value: 0.88545362392296
     - name: Accuracy
       type: accuracy
-      value: 0.9836487420412604
 ---
 <!-- 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 [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: 0.0652
-- 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 |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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

     metrics:
     - name: Precision
       type: precision
+      value: 0.8649122807017544
     - name: Recall
       type: recall
+      value: 0.8885169927909372
     - name: F1
       type: f1
+      value: 0.8765557531115061
     - name: Accuracy
       type: accuracy
+      value: 0.9821930095431353
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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: 0.0679
+- Precision: 0.8649
+- Recall: 0.8885
+- F1: 0.8766
+- Accuracy: 0.9822
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 490  | 0.0795          | 0.8185    | 0.7907 | 0.8043 | 0.9753   |
+| 0.1925        | 2.0   | 980  | 0.0683          | 0.8475    | 0.8602 | 0.8538 | 0.9803   |
+| 0.0422        | 3.0   | 1470 | 0.0679          | 0.8649    | 0.8885 | 0.8766 | 0.9822   |
 ### Framework versions

pytorch_model.bin CHANGED Viewed

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