ciriatico/ner-bert-base-cased-pt-Ato_Nomeacao_Efetivo-knedle

README.md

@@ -20,11 +20,11 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3198
-- Precision: 0.7882
-- Recall: 0.6865
-- F1: 0.7338
-- Accuracy: 0.9249
+- Loss: 1.6444
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.5937
 
 ## Model description
 
@@ -56,9 +56,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.0756        | 1.6393 | 50   | 0.3198          | 0.7882    | 0.6865 | 0.7338 | 0.9249   |
 
 
 ### Framework versions

config.json

@@ -36,7 +36,8 @@
     "23": "LABEL_23",
     "24": "LABEL_24",
     "25": "LABEL_25",
-    "26": "LABEL_26"
+    "26": "LABEL_26",
+    "27": "LABEL_27"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -61,6 +62,7 @@
     "LABEL_24": 24,
     "LABEL_25": 25,
     "LABEL_26": 26,
+    "LABEL_27": 27,
     "LABEL_3": 3,
     "LABEL_4": 4,
     "LABEL_5": 5,

model.safetensors

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training_args.bin

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