Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_10_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_km_10_v1_rte
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE RTE
-      type: glue
-      args: rte
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5126353790613718
+  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_10_v1_rte
 
-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 RTE 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: 0.6984
-- Accuracy: 0.5126
+- Loss: 1.2257
+- Accuracy: 0.4693
 
 ## Model description
 
@@ -64,12 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7037        | 1.0   | 10   | 0.6984          | 0.5126   |
-| 0.6599        | 2.0   | 20   | 0.7276          | 0.5415   |
-| 0.6078        | 3.0   | 30   | 0.7693          | 0.5199   |
-| 0.4859        | 4.0   | 40   | 0.9043          | 0.4621   |
-| 0.3626        | 5.0   | 50   | 1.0744          | 0.5379   |
-| 0.2564        | 6.0   | 60   | 1.2302          | 0.4693   |
+| 0.7036        | 1.0   | 10   | 0.6984          | 0.5090   |
+| 0.66          | 2.0   | 20   | 0.7282          | 0.5451   |
+| 0.6065        | 3.0   | 30   | 0.7693          | 0.5162   |
+| 0.4844        | 4.0   | 40   | 0.9046          | 0.4693   |
+| 0.3615        | 5.0   | 50   | 1.0748          | 0.5379   |
+| 0.26          | 6.0   | 60   | 1.2257          | 0.4693   |
 
 
 ### Framework versions

logs/events.out.tfevents.1745021478.s_005_m.2780655.8

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e7124244443861b1b5d354f8709228bfdbf0efde6fbd931410d347309043b79e
-size 5509
+oid sha256:02bcf686149d51a5c064cdbbbec31f31f59b624413e36487928b4e90cf457c39
+size 8477