Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_10_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_10_v1_qqp
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QQP
-      type: glue
-      args: qqp
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8168933959930744
-    - name: F1
-      type: f1
-      value: 0.7483085710400164
+  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_10_v1_qqp
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_10_v1](https://huggingface.co/Hartunka/bert_base_km_10_v1) on the GLUE QQP dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_10_v1](https://huggingface.co/Hartunka/bert_base_km_10_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3991
-- Accuracy: 0.8169
-- F1: 0.7483
-- Combined Score: 0.7826
+- Loss: 0.6114
+- Accuracy: 0.8388
+- F1: 0.7771
+- Combined Score: 0.8079
 
 ## Model description
 
@@ -70,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
-| 0.4755        | 1.0   | 1422 | 0.4436          | 0.7900   | 0.6718 | 0.7309         |
-| 0.3635        | 2.0   | 2844 | 0.3991          | 0.8169   | 0.7483 | 0.7826         |
-| 0.2764        | 3.0   | 4266 | 0.4214          | 0.8274   | 0.7660 | 0.7967         |
-| 0.2061        | 4.0   | 5688 | 0.4711          | 0.8345   | 0.7643 | 0.7994         |
-| 0.1551        | 5.0   | 7110 | 0.5269          | 0.8338   | 0.7547 | 0.7942         |
-| 0.1209        | 6.0   | 8532 | 0.5602          | 0.8357   | 0.7719 | 0.8038         |
-| 0.0961        | 7.0   | 9954 | 0.6077          | 0.8357   | 0.7748 | 0.8052         |
+| 0.4756        | 1.0   | 1422 | 0.4438          | 0.7900   | 0.6719 | 0.7310         |
+| 0.3636        | 2.0   | 2844 | 0.3983          | 0.8171   | 0.7493 | 0.7832         |
+| 0.2766        | 3.0   | 4266 | 0.4199          | 0.8278   | 0.7675 | 0.7977         |
+| 0.2059        | 4.0   | 5688 | 0.4660          | 0.8327   | 0.7605 | 0.7966         |
+| 0.1549        | 5.0   | 7110 | 0.5143          | 0.8351   | 0.7653 | 0.8002         |
+| 0.1209        | 6.0   | 8532 | 0.5888          | 0.8363   | 0.7706 | 0.8034         |
+| 0.0957        | 7.0   | 9954 | 0.6114          | 0.8388   | 0.7771 | 0.8079         |
 
 
 ### Framework versions

logs/events.out.tfevents.1745017156.s_005_m.2780655.6

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+size 9803

model.safetensors

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