End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_km_5_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_km_5_v1_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.39436619718309857
 ---
 
 <!-- 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_v1_wnli
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v1](https://huggingface.co/Hartunka/tiny_bert_km_5_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_5_v1](https://huggingface.co/Hartunka/tiny_bert_km_5_v1) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7709
-- Accuracy: 0.2113
+- Loss: 0.7232
+- Accuracy: 0.3944
 
 ## Model description
 

all_results.json

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+    "train_runtime": 6.5593,
+    "train_samples": 635,
+    "train_samples_per_second": 4840.435,
+    "train_steps_per_second": 22.868
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1744630941.s_005_m.2701049.15

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+oid sha256:0c0efdbf3b1b2f7ec8f619470fcc43c19ad222127e6fa31cbdee6cef771cd07f
+size 357

train_results.json

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+}

trainer_state.json

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+{
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+  "best_metric": 0.7231789231300354,
+  "best_model_checkpoint": "tiny_bert_km_5_v1_wnli/checkpoint-3",
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+  "global_step": 18,
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+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}