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:
 - spearmanr
 model-index:
 - name: tiny_bert_rand_50_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: 0.11211697376930498
 ---
 
 <!-- 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_rand_50_v1_stsb
 
-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 STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5000
-- Pearson: 0.2583
-- Spearmanr: 0.2613
-- Combined Score: 0.2598
+- Loss: 2.2569
+- Pearson: 0.1148
+- Spearmanr: 0.1121
+- Combined Score: 0.1135
 
 ## Model description
 

all_results.json

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+    "train_steps_per_second": 36.313
+}

eval_results.json

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+{
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+    "eval_loss": 2.2568883895874023,
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+    "eval_spearmanr": 0.11211697376930498,
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+}

logs/events.out.tfevents.1744827296.s_004_m

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ae08a84b58af87546c40b78c2fdc4ddea4fd52da57d200688337842effee147c
+size 40

train_results.json

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+    "train_steps_per_second": 36.313
+}

trainer_state.json

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+}