Model save

README.md

@@ -1,28 +1,13 @@
 ---
 library_name: transformers
-language:
-- en
 base_model: Hartunka/bert_base_km_20_v2
 tags:
 - generated_from_trainer
-datasets:
-- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_km_20_v2_qnli
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE QNLI
-      type: glue
-      args: qnli
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.6293245469522241
+  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_km_20_v2_qnli
 
-This model is a fine-tuned version of [Hartunka/bert_base_km_20_v2](https://huggingface.co/Hartunka/bert_base_km_20_v2) on the GLUE QNLI dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_km_20_v2](https://huggingface.co/Hartunka/bert_base_km_20_v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6412
-- Accuracy: 0.6293
+- Loss: 1.2132
+- Accuracy: 0.6368
 
 ## Model description
 
@@ -64,12 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6649        | 1.0   | 410  | 0.6412          | 0.6293   |
-| 0.6275        | 2.0   | 820  | 0.6414          | 0.6416   |
-| 0.5633        | 3.0   | 1230 | 0.6846          | 0.6231   |
-| 0.4529        | 4.0   | 1640 | 0.7029          | 0.6436   |
-| 0.328         | 5.0   | 2050 | 0.7876          | 0.6346   |
-| 0.2262        | 6.0   | 2460 | 0.9490          | 0.6443   |
+| 0.6649        | 1.0   | 410  | 0.6421          | 0.6288   |
+| 0.6275        | 2.0   | 820  | 0.6360          | 0.6421   |
+| 0.5638        | 3.0   | 1230 | 0.6697          | 0.6313   |
+| 0.4536        | 4.0   | 1640 | 0.6980          | 0.6465   |
+| 0.3276        | 5.0   | 2050 | 0.8003          | 0.6423   |
+| 0.2264        | 6.0   | 2460 | 0.9974          | 0.6354   |
+| 0.1588        | 7.0   | 2870 | 1.2132          | 0.6368   |
 
 
 ### Framework versions

logs/events.out.tfevents.1745398592.s_005_m.2876923.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:299f40491e677e92aab912ef7f225c1b1f2b40467667772a0328e1cd0c9f7ebd
-size 8194
+oid sha256:16488083eb4a47d32186500f7a871d518f0dd4a9e78c1101d294d934d346c9e4
+size 9082

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3aae633eb667d2e8e727cf9f9e4c11ba4bc6e854bb05dd9802c7a5431edcd474
+oid sha256:5e146ba1e2bfbd029f22a8be69db4e58a709f2dfea4637b9b37c9ce3fbe0199f
 size 437953248