Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_20_v2
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_20_v2_qqp
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8158792975513233
-    - name: F1
-      type: f1
-      value: 0.7507032819825854
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_20_v2_qqp
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_20_v2](https://huggingface.co/Hartunka/bert_base_km_20_v2) on the GLUE QQP dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_20_v2](https://huggingface.co/Hartunka/bert_base_km_20_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3973
-- Accuracy: 0.8159
-- F1: 0.7507
-- Combined Score: 0.7833
+- Loss: 0.6021
+- Accuracy: 0.8350
+- F1: 0.7747
+- Combined Score: 0.8049
 
 ## Model description
 
@@ -74,9 +56,9 @@ The following hyperparameters were used during training:
 | 0.371         | 2.0   | 2844 | 0.3973          | 0.8159   | 0.7507 | 0.7833         |
 | 0.2919        | 3.0   | 4266 | 0.4062          | 0.8167   | 0.7721 | 0.7944         |
 | 0.2234        | 4.0   | 5688 | 0.4300          | 0.8318   | 0.7711 | 0.8015         |
-| 0.1687        | 5.0   | 7110 | 0.4912          | 0.8364   | 0.7757 | 0.8060         |
-| 0.1294        | 6.0   | 8532 | 0.5583          | 0.8339   | 0.7642 | 0.7990         |
-| 0.1015        | 7.0   | 9954 | 0.5946          | 0.8339   | 0.7758 | 0.8048         |
+| 0.1687        | 5.0   | 7110 | 0.4925          | 0.8354   | 0.7750 | 0.8052         |
+| 0.1294        | 6.0   | 8532 | 0.5532          | 0.8354   | 0.7686 | 0.8020         |
+| 0.1015        | 7.0   | 9954 | 0.6021          | 0.8350   | 0.7747 | 0.8049         |
 
 
 ### Framework versions

logs/events.out.tfevents.1745399855.s_005_m.2876923.6

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+size 9803

model.safetensors

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