Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_20_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_20_v1_qqp
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8163739797180312
-    - name: F1
-      type: f1
-      value: 0.7572110667800379
+  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_v1_qqp
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_20_v1](https://huggingface.co/Hartunka/bert_base_km_20_v1) on the GLUE QQP dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_20_v1](https://huggingface.co/Hartunka/bert_base_km_20_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3921
-- Accuracy: 0.8164
-- F1: 0.7572
-- Combined Score: 0.7868
+- Loss: 0.5794
+- Accuracy: 0.8356
+- F1: 0.7807
+- Combined Score: 0.8081
 
 ## Model description
 
@@ -73,10 +55,10 @@ The following hyperparameters were used during training:
 | 0.4811        | 1.0   | 1422 | 0.4579          | 0.7807   | 0.6421 | 0.7114         |
 | 0.3726        | 2.0   | 2844 | 0.3921          | 0.8164   | 0.7572 | 0.7868         |
 | 0.2901        | 3.0   | 4266 | 0.3958          | 0.8244   | 0.7648 | 0.7946         |
-| 0.2175        | 4.0   | 5688 | 0.4462          | 0.8312   | 0.7659 | 0.7986         |
-| 0.1641        | 5.0   | 7110 | 0.4789          | 0.8319   | 0.7677 | 0.7998         |
-| 0.1258        | 6.0   | 8532 | 0.5442          | 0.8352   | 0.7718 | 0.8035         |
-| 0.0998        | 7.0   | 9954 | 0.5709          | 0.8337   | 0.7783 | 0.8060         |
+| 0.2176        | 4.0   | 5688 | 0.4467          | 0.8303   | 0.7644 | 0.7974         |
+| 0.1641        | 5.0   | 7110 | 0.4787          | 0.8322   | 0.7655 | 0.7988         |
+| 0.1263        | 6.0   | 8532 | 0.5398          | 0.8335   | 0.7684 | 0.8009         |
+| 0.0993        | 7.0   | 9954 | 0.5794          | 0.8356   | 0.7807 | 0.8081         |
 
 
 ### Framework versions

logs/events.out.tfevents.1745045523.s_005_m.2788007.6

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+size 9803

model.safetensors

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