End of training

README.md

@@ -1,12 +1,27 @@
 ---
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_50_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_50_v1_qnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE QNLI
+      type: glue
+      args: qnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6146805784367564
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_rand_50_v1_qnli
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v1](https://huggingface.co/Hartunka/tiny_bert_rand_50_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v1](https://huggingface.co/Hartunka/tiny_bert_rand_50_v1) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9755
-- Accuracy: 0.5938
+- Loss: 0.6506
+- Accuracy: 0.6147
 
 ## Model description
 

all_results.json

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+    "train_steps_per_second": 47.695
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1744824713.s_004_m

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+oid sha256:426e3df53d31c31461ed1416b8d40040ec43fb398453fb31a8ca9a8f5ddee441
+size 253

train_results.json

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+}

trainer_state.json

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+  "best_model_checkpoint": "tiny_bert_rand_50_v1_qnli/checkpoint-410",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}