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:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_base_km_5_v1_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: 0.060190597377967524
-    - name: Accuracy
-      type: accuracy
-      value: 0.693192720413208
+  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_5_v1_cola
 
-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 COLA 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: 0.6095
-- Matthews Correlation: 0.0602
-- Accuracy: 0.6932
+- Loss: 0.8536
+- Matthews Correlation: 0.1002
+- Accuracy: 0.6462
 
 ## Model description
 
@@ -69,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|:--------:|
-| 0.6192        | 1.0   | 34   | 0.6177          | 0.0                  | 0.6913   |
-| 0.6088        | 2.0   | 68   | 0.6191          | 0.0464               | 0.6922   |
-| 0.5837        | 3.0   | 102  | 0.6095          | 0.0602               | 0.6932   |
-| 0.5398        | 4.0   | 136  | 0.6480          | 0.0832               | 0.6826   |
-| 0.4723        | 5.0   | 170  | 0.6781          | 0.1322               | 0.6433   |
-| 0.4133        | 6.0   | 204  | 0.7814          | 0.1000               | 0.6155   |
-| 0.3619        | 7.0   | 238  | 0.8528          | 0.1148               | 0.6290   |
-| 0.321         | 8.0   | 272  | 0.9529          | 0.1221               | 0.6462   |
+| 0.6154        | 1.0   | 34   | 0.6184          | -0.0079              | 0.6894   |
+| 0.5959        | 2.0   | 68   | 0.6171          | 0.0055               | 0.6740   |
+| 0.5583        | 3.0   | 102  | 0.6169          | 0.0496               | 0.6874   |
+| 0.5145        | 4.0   | 136  | 0.6424          | 0.0953               | 0.6635   |
+| 0.4591        | 5.0   | 170  | 0.6875          | 0.0989               | 0.6491   |
+| 0.412         | 6.0   | 204  | 0.7451          | 0.0651               | 0.6309   |
+| 0.3633        | 7.0   | 238  | 0.7966          | 0.1089               | 0.6203   |
+| 0.3189        | 8.0   | 272  | 0.8536          | 0.1002               | 0.6462   |
 
 
 ### Framework versions

logs/events.out.tfevents.1744963991.s_005_m.2772371.0

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model.safetensors

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