End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_rand_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_rand_10_v2_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5352112676056338
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_rand_10_v2_wnli
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9093
-- Accuracy: 0.1831
+- Loss: 0.7152
+- Accuracy: 0.5352
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

logs/events.out.tfevents.1745476828.s_005_m.2892304.51

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+oid sha256:69a0798a8d28453e9fab61164f5c06c09f7d2d48079e0047119593a5c3cd429f
+size 357

train_results.json

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+}

trainer_state.json

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+}