Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/tiny_bert_rand_10_v2
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_10_v2_qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6218195130880468
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_rand_10_v2_qnli
 
-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 QNLI 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: 0.6458
-- Accuracy: 0.6218
+- Loss: 1.0601
+- Accuracy: 0.5973
 
 ## Model description
 
@@ -66,11 +51,11 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 0.6655        | 1.0   | 410  | 0.6485          | 0.6202   |
 | 0.6349        | 2.0   | 820  | 0.6458          | 0.6218   |
-| 0.594         | 3.0   | 1230 | 0.6675          | 0.6238   |
-| 0.5378        | 4.0   | 1640 | 0.6990          | 0.6183   |
-| 0.4719        | 5.0   | 2050 | 0.8101          | 0.6139   |
-| 0.4033        | 6.0   | 2460 | 0.9288          | 0.6086   |
-| 0.3409        | 7.0   | 2870 | 1.0519          | 0.5980   |
+| 0.5941        | 3.0   | 1230 | 0.6681          | 0.6231   |
+| 0.5378        | 4.0   | 1640 | 0.7004          | 0.6198   |
+| 0.4716        | 5.0   | 2050 | 0.8120          | 0.6160   |
+| 0.4032        | 6.0   | 2460 | 0.9388          | 0.6075   |
+| 0.3408        | 7.0   | 2870 | 1.0601          | 0.5973   |
 
 
 ### Framework versions

logs/events.out.tfevents.1745307450.s_005_m.2850172.4

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-size 8200
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+size 9088

model.safetensors

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