Training complete

README.md

@@ -2,11 +2,6 @@
 base_model: KBLab/bert-base-swedish-cased-ner
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: testThesis
   results: []
@@ -18,12 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # testThesis
 
 This model is a fine-tuned version of [KBLab/bert-base-swedish-cased-ner](https://huggingface.co/KBLab/bert-base-swedish-cased-ner) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1703
-- Precision: 0.44
-- Recall: 0.2366
-- F1: 0.3077
-- Accuracy: 0.9494
 
 ## Model description
 
@@ -50,15 +39,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 15   | 0.2260          | 0.0385    | 0.0215 | 0.0276 | 0.9343   |
-| No log        | 2.0   | 30   | 0.1824          | 0.4444    | 0.2151 | 0.2899 | 0.9476   |
-| No log        | 3.0   | 45   | 0.1703          | 0.44      | 0.2366 | 0.3077 | 0.9494   |
-
-
 ### Framework versions
 
 - Transformers 4.33.0

config.json

@@ -11,27 +11,27 @@
   "hidden_size": 768,
   "id2label": {
     "0": "O",
-    "1": "B-PER",
-    "2": "I-PER",
-    "3": "B-LOC",
-    "4": "I-LOC",
-    "5": "I-ORG",
-    "6": "B-ORG",
-    "7": "I-MISC",
-    "8": "B-MISC"
+    "1": "SMP",
+    "2": "PRS",
+    "3": "GRO",
+    "4": "MNT",
+    "5": "WRK",
+    "6": "LOC",
+    "7": "EVN",
+    "8": "TME"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "B-LOC": "3",
-    "B-MISC": "8",
-    "B-ORG": "6",
-    "B-PER": "1",
-    "I-LOC": "4",
-    "I-MISC": "7",
-    "I-ORG": "5",
-    "I-PER": "2",
-    "O": "0"
+    "EVN": "7",
+    "GRO": "3",
+    "LOC": "6",
+    "MNT": "4",
+    "O": "0",
+    "PRS": "2",
+    "SMP": "1",
+    "TME": "8",
+    "WRK": "5"
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

pytorch_model.bin

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training_args.bin

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