Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_50_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_50_v1_mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.7034313725490197
-    - name: F1
-      type: f1
-      value: 0.8141321044546851
+  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_50_v1_mrpc
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on the GLUE MRPC dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_50_v1](https://huggingface.co/Hartunka/bert_base_km_50_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5894
-- Accuracy: 0.7034
-- F1: 0.8141
-- Combined Score: 0.7588
+- Loss: 1.1340
+- Accuracy: 0.6593
+- F1: 0.7531
+- Combined Score: 0.7062
 
 ## Model description
 

logs/events.out.tfevents.1745096445.s_005_m.2796520.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:afb1d9f13106104b884132e2111496f0589915323ce0d34c57598d6a396f4e88
-size 8120
+oid sha256:12bfe144a9520ecd6c95dbbee81d6447ade429577eccb9a835fac4f12c0aa644
+size 9720

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c7fbdeb7bde476d13c309cad0a9df8199a654875501bd514095d7181dbda716b
+oid sha256:c299df1b1c67c1f9444197650b475f801f8e25404ef9df47ff7a8b756a01230a
 size 437953248