Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_5_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_5_v1_mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.696078431372549
-    - name: F1
-      type: f1
-      value: 0.8050314465408805
+  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_5_v1_mrpc
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on the GLUE MRPC dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5720
-- Accuracy: 0.6961
-- F1: 0.8050
-- Combined Score: 0.7506
+- Loss: 1.4808
+- Accuracy: 0.6593
+- F1: 0.7608
+- Combined Score: 0.7100
 
 ## Model description
 
@@ -70,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Combined Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
-| 0.6366        | 1.0   | 15   | 0.6056          | 0.7034   | 0.8169 | 0.7602         |
-| 0.5854        | 2.0   | 30   | 0.5720          | 0.6961   | 0.8050 | 0.7506         |
-| 0.5288        | 3.0   | 45   | 0.5836          | 0.7181   | 0.8124 | 0.7653         |
-| 0.4296        | 4.0   | 60   | 0.6832          | 0.6789   | 0.7614 | 0.7202         |
-| 0.3138        | 5.0   | 75   | 0.8312          | 0.6569   | 0.7328 | 0.6948         |
-| 0.1923        | 6.0   | 90   | 0.9714          | 0.6691   | 0.7523 | 0.7107         |
-| 0.1213        | 7.0   | 105  | 1.1573          | 0.6618   | 0.7544 | 0.7081         |
+| 0.6268        | 1.0   | 15   | 0.5994          | 0.7059   | 0.8176 | 0.7618         |
+| 0.555         | 2.0   | 30   | 0.5926          | 0.7181   | 0.8172 | 0.7677         |
+| 0.45          | 3.0   | 45   | 0.6522          | 0.6936   | 0.7954 | 0.7445         |
+| 0.2999        | 4.0   | 60   | 0.8734          | 0.6789   | 0.7722 | 0.7255         |
+| 0.1672        | 5.0   | 75   | 1.0597          | 0.6005   | 0.6859 | 0.6432         |
+| 0.0863        | 6.0   | 90   | 1.2697          | 0.6324   | 0.7232 | 0.6778         |
+| 0.0536        | 7.0   | 105  | 1.4808          | 0.6593   | 0.7608 | 0.7100         |
 
 
 ### Framework versions

logs/events.out.tfevents.1744964192.s_005_m.2772371.2

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+size 9715

model.safetensors

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