Model save

README.md

@@ -1,32 +1,14 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_rand_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_rand_100_v1_mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.7107843137254902
-    - name: F1
-      type: f1
-      value: 0.8033333333333333
+  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. -->
 
 # bert_base_rand_100_v1_mrpc
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_100_v1](https://huggingface.co/Hartunka/bert_base_rand_100_v1) on the GLUE MRPC dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_100_v1](https://huggingface.co/Hartunka/bert_base_rand_100_v1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5808
-- Accuracy: 0.7108
-- F1: 0.8033
-- Combined Score: 0.7571
+- Loss: 1.4011
+- Accuracy: 0.6495
+- F1: 0.7357
+- Combined Score: 0.6926
 
 ## Model description
 

logs/events.out.tfevents.1745183105.s_005_m.2815556.2

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model.safetensors

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