End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_km_100_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_km_100_v2_mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7058823529411765
+    - name: F1
+      type: f1
+      value: 0.8170731707317073
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,12 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_100_v2_mrpc
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_100_v2](https://huggingface.co/Hartunka/bert_base_km_100_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_100_v2](https://huggingface.co/Hartunka/bert_base_km_100_v2) on the GLUE MRPC dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1697
-- Accuracy: 0.625
-- F1: 0.7330
-- Combined Score: 0.6790
+- Loss: 0.6165
+- Accuracy: 0.7059
+- F1: 0.8171
+- Combined Score: 0.7615
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

logs/events.out.tfevents.1745442653.s_005_m.2892304.3

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b893601779f59f5600c120f04b1dfcd11cc09e26c81f3807d3efc4be4bbde3f4
+size 459

train_results.json

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+{
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+    "train_runtime": 58.9087,
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+    "train_samples_per_second": 3113.291,
+    "train_steps_per_second": 12.732
+}

trainer_state.json

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+}