End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_km_5_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_km_5_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: 0.5492957746478874
 ---
 
 <!-- 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. -->
 
 # tiny_bert_km_5_v2_wnli
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v2](https://huggingface.co/Hartunka/tiny_bert_km_5_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v2](https://huggingface.co/Hartunka/tiny_bert_km_5_v2) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7194
-- Accuracy: 0.2958
+- Loss: 0.6992
+- Accuracy: 0.5493
 
 ## Model description
 

all_results.json

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+    "train_runtime": 7.3204,
+    "train_samples": 635,
+    "train_samples_per_second": 4337.188,
+    "train_steps_per_second": 20.491
+}

eval_results.json

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+{
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+    "eval_steps_per_second": 19.687
+}

logs/events.out.tfevents.1745270845.s_005_m.2836625.15

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+version https://git-lfs.github.com/spec/v1
+oid sha256:94549bc76823506e7986570e77273c2d00142d195366be187576e4ccc7e5178a
+size 357

train_results.json

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+    "train_steps_per_second": 20.491
+}

trainer_state.json

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+{
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+  "best_model_checkpoint": "tiny_bert_km_5_v2_wnli/checkpoint-6",
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+}