End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_km_5_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_base_km_5_v2_cola
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE COLA
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.006434621036303265
+    - name: Accuracy
+      type: accuracy
+      value: 0.6864812970161438
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_5_v2_cola
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_5_v2](https://huggingface.co/Hartunka/bert_base_km_5_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_5_v2](https://huggingface.co/Hartunka/bert_base_km_5_v2) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9325
-- Matthews Correlation: 0.0947
-- Accuracy: 0.6366
+- Loss: 0.6109
+- Matthews Correlation: 0.0064
+- Accuracy: 0.6865
 
 ## Model description
 

all_results.json

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+{
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+}

eval_results.json

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+{
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+    "eval_steps_per_second": 6.867
+}

logs/events.out.tfevents.1745268221.s_005_m.2836894.1

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c9452d5db3cc07dc935cbcbf8ae54c4cf442e999316ec0af43880a9b1d6699d
+size 427

train_results.json

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+    "train_samples": 8551,
+    "train_samples_per_second": 3637.579,
+    "train_steps_per_second": 14.464
+}

trainer_state.json

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+}