End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-japanese-v3) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0580
-- Precision: 0.8861
-- Recall: 0.8961
-- F1: 0.8911
-- Accuracy: 0.9896
+- Loss: 0.0372
+- Precision: 0.9673
+- Recall: 0.9682
+- F1: 0.9678
+- Accuracy: 0.9933
 
 ## Model description
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0634        | 1.0   | 736  | 0.0298          | 0.8876    | 0.8798 | 0.8837 | 0.9890   |
-| 0.0186        | 2.0   | 1472 | 0.0370          | 0.8900    | 0.8705 | 0.8801 | 0.9888   |
-| 0.0084        | 3.0   | 2208 | 0.0439          | 0.8855    | 0.8999 | 0.8926 | 0.9894   |
-| 0.0036        | 4.0   | 2944 | 0.0502          | 0.8920    | 0.8892 | 0.8906 | 0.9897   |
-| 0.0017        | 5.0   | 3680 | 0.0580          | 0.8861    | 0.8961 | 0.8911 | 0.9896   |
+| 0.0553        | 1.0   | 848  | 0.0263          | 0.9683    | 0.9334 | 0.9505 | 0.9908   |
+| 0.0133        | 2.0   | 1696 | 0.0241          | 0.9707    | 0.9560 | 0.9633 | 0.9928   |
+| 0.0065        | 3.0   | 2544 | 0.0245          | 0.9631    | 0.9706 | 0.9668 | 0.9935   |
+| 0.0027        | 4.0   | 3392 | 0.0321          | 0.9716    | 0.9659 | 0.9687 | 0.9936   |
+| 0.0012        | 5.0   | 4240 | 0.0372          | 0.9673    | 0.9682 | 0.9678 | 0.9933   |
 
 
 ### Framework versions
 
 - Transformers 4.36.2
 - Pytorch 2.0.1+cu118
-- Datasets 2.16.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

config.json

@@ -12,16 +12,20 @@
     "0": "O",
     "1": "B-MONEY",
     "2": "I-MONEY",
-    "3": "B-ORGANIZATION",
-    "4": "I-ORGANIZATION"
+    "3": "B-MONEY_LABEL",
+    "4": "I-MONEY_LABEL",
+    "5": "B-ORGANIZATION",
+    "6": "I-ORGANIZATION"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "B-MONEY": 1,
-    "B-ORGANIZATION": 3,
+    "B-MONEY_LABEL": 3,
+    "B-ORGANIZATION": 5,
     "I-MONEY": 2,
-    "I-ORGANIZATION": 4,
+    "I-MONEY_LABEL": 4,
+    "I-ORGANIZATION": 6,
     "O": 0
   },
   "layer_norm_eps": 1e-12,

model.safetensors

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training_args.bin

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