Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_20_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_km_20_v1_qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.629873695771554
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_20_v1_qnli
 
-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 QNLI 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: 0.6379
-- Accuracy: 0.6299
+- Loss: 1.1769
+- Accuracy: 0.6458
 
 ## Model description
 
@@ -64,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6684        | 1.0   | 410  | 0.6478          | 0.6204   |
-| 0.632         | 2.0   | 820  | 0.6379          | 0.6299   |
-| 0.572         | 3.0   | 1230 | 0.6602          | 0.6313   |
-| 0.4607        | 4.0   | 1640 | 0.6907          | 0.6493   |
-| 0.3293        | 5.0   | 2050 | 0.8159          | 0.6485   |
-| 0.223         | 6.0   | 2460 | 1.0376          | 0.6405   |
-| 0.1601        | 7.0   | 2870 | 1.2133          | 0.6425   |
+| 0.668         | 1.0   | 410  | 0.6446          | 0.6233   |
+| 0.6309        | 2.0   | 820  | 0.6347          | 0.6354   |
+| 0.5661        | 3.0   | 1230 | 0.6614          | 0.6317   |
+| 0.4463        | 4.0   | 1640 | 0.6945          | 0.6414   |
+| 0.3097        | 5.0   | 2050 | 0.8415          | 0.6447   |
+| 0.2074        | 6.0   | 2460 | 1.0763          | 0.6355   |
+| 0.1497        | 7.0   | 2870 | 1.1769          | 0.6458   |
 
 
 ### Framework versions

logs/events.out.tfevents.1745044249.s_005_m.2788007.4

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+size 9082

model.safetensors

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