End of training

README.md

@@ -1,13 +1,28 @@
 ---
 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_rte
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE RTE
+      type: glue
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5234657039711191
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_km_20_v2_rte
 
-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.
+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 RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0374
-- Accuracy: 0.4946
+- Loss: 0.6976
+- Accuracy: 0.5235
 
 ## Model description
 

all_results.json

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+    "train_runtime": 37.9004,
+    "train_samples": 2490,
+    "train_samples_per_second": 3284.925,
+    "train_steps_per_second": 13.192
+}

eval_results.json

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+{
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+}

logs/events.out.tfevents.1745404229.s_005_m.2876923.9

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22c9fffdfd97775e2a4f69c1d89cc94d1fb9c845756d41c9bf4095f6f076249b
+size 357

train_results.json

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+    "train_steps_per_second": 13.192
+}

trainer_state.json

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+{
+  "best_global_step": 10,
+  "best_metric": 0.6976040601730347,
+  "best_model_checkpoint": "bert_base_km_20_v2_rte/checkpoint-10",
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+  "global_step": 60,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}