Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_100_v2
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_base_km_100_v2_cola
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE COLA
-      type: glue
-      args: cola
-    metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
-      value: 0.0
-    - name: Accuracy
-      type: accuracy
-      value: 0.6912751793861389
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_100_v2_cola
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_100_v2](https://huggingface.co/Hartunka/bert_base_km_100_v2) on the GLUE COLA dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_100_v2](https://huggingface.co/Hartunka/bert_base_km_100_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6174
-- Matthews Correlation: 0.0
-- Accuracy: 0.6913
+- Loss: 0.7572
+- Matthews Correlation: 0.1157
+- Accuracy: 0.6443
 
 ## Model description
 

logs/events.out.tfevents.1745442439.s_005_m.2892304.0

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