End of training

README.md

@@ -1,12 +1,27 @@
 ---
+language:
+- en
 base_model: Hartunka/tiny_bert_km_100_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: tiny_bert_km_100_v1_stsb
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.17557479397825773
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,12 +29,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_km_100_v1_stsb
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v1](https://huggingface.co/Hartunka/tiny_bert_km_100_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_100_v1](https://huggingface.co/Hartunka/tiny_bert_km_100_v1) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3234
-- Pearson: 0.2691
-- Spearmanr: 0.2705
-- Combined Score: 0.2698
+- Loss: 2.2017
+- Pearson: 0.1983
+- Spearmanr: 0.1756
+- Combined Score: 0.1870
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1744821302.s_004_m

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+oid sha256:3ae967b1773b5b4820db0c22d16ed5effe009cd2d73bbc648289a2e337b9381f
+size 40

train_results.json

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+    "train_steps_per_second": 35.835
+}

trainer_state.json

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+}