Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/tiny_bert_rand_10_v2
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: tiny_bert_rand_10_v2_mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6936274509803921
-    - name: F1
-      type: f1
-      value: 0.8049921996879875
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_rand_10_v2_mrpc
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_10_v2](https://huggingface.co/Hartunka/tiny_bert_rand_10_v2) on the GLUE MRPC dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_10_v2](https://huggingface.co/Hartunka/tiny_bert_rand_10_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5925
-- Accuracy: 0.6936
-- F1: 0.8050
-- Combined Score: 0.7493
+- Loss: 0.9016
+- Accuracy: 0.6569
+- F1: 0.7578
+- Combined Score: 0.7073
 
 ## Model description
 

logs/events.out.tfevents.1745307370.s_005_m.2850172.2

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model.safetensors

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