End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_rand_20_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - spearmanr
 model-index:
 - name: bert_base_rand_20_v2_stsb
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE STSB
+      type: glue
+      args: stsb
+    metrics:
+    - name: Spearmanr
+      type: spearmanr
+      value: 0.130409205353067
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_rand_20_v2_stsb
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_20_v2](https://huggingface.co/Hartunka/bert_base_rand_20_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_20_v2](https://huggingface.co/Hartunka/bert_base_rand_20_v2) on the GLUE STSB dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8197
-- Pearson: 0.2832
-- Spearmanr: 0.2837
-- Combined Score: 0.2835
+- Loss: 2.2506
+- Pearson: 0.1529
+- Spearmanr: 0.1304
+- Combined Score: 0.1417
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+{
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+    "eval_loss": 2.2505738735198975,
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+    "eval_steps_per_second": 6.143
+}

logs/events.out.tfevents.1745490803.s_005_m.2892304.67

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6a826eab9f14320490c93856dca93478e16a26cd5e06d10fe161762560be4ab
+size 473

train_results.json

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+{
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+    "train_loss": 1.4901102176610974,
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+    "train_samples_per_second": 3857.986,
+    "train_steps_per_second": 15.435
+}

trainer_state.json

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+}