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_rte
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE RTE
+      type: glue
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5595667870036101
 ---
 
 <!-- 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_rte
 
-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 RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2461
-- Accuracy: 0.5271
+- Loss: 0.6857
+- Accuracy: 0.5596
 
 ## Model description
 

all_results.json

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+    "train_runtime": 20.1921,
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+    "train_samples_per_second": 6165.772,
+    "train_steps_per_second": 24.762
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1744826937.s_004_m

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bdd5ac4513c8ddd600f4de0b15bd9e0840303ff51ed3837b13bd15c3392e4b65
+size 40

train_results.json

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+    "train_steps_per_second": 24.762
+}

trainer_state.json

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