Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_rand_100_v1
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_rand_100_v1_qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6370126304228446
+  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. -->
 
 # bert_base_rand_100_v1_qnli
 
-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 QNLI 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: 0.6338
-- Accuracy: 0.6370
+- Loss: 1.2076
+- Accuracy: 0.6334
 
 ## Model description
 
@@ -64,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6632        | 1.0   | 410  | 0.6432          | 0.6220   |
-| 0.6244        | 2.0   | 820  | 0.6338          | 0.6370   |
-| 0.561         | 3.0   | 1230 | 0.6733          | 0.6352   |
-| 0.4574        | 4.0   | 1640 | 0.7155          | 0.6469   |
-| 0.3358        | 5.0   | 2050 | 0.8645          | 0.6410   |
-| 0.2353        | 6.0   | 2460 | 1.0368          | 0.6372   |
-| 0.1682        | 7.0   | 2870 | 1.0254          | 0.6335   |
+| 0.6632        | 1.0   | 410  | 0.6436          | 0.6205   |
+| 0.6248        | 2.0   | 820  | 0.6374          | 0.6363   |
+| 0.5616        | 3.0   | 1230 | 0.6838          | 0.6390   |
+| 0.4586        | 4.0   | 1640 | 0.7240          | 0.6471   |
+| 0.3339        | 5.0   | 2050 | 0.8316          | 0.6359   |
+| 0.2351        | 6.0   | 2460 | 1.0066          | 0.6323   |
+| 0.1661        | 7.0   | 2870 | 1.2076          | 0.6334   |
 
 
 ### Framework versions

logs/events.out.tfevents.1745183189.s_005_m.2815556.4

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+size 9095

model.safetensors

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