End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_rand_50_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_rand_50_v2_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5633802816901409
 ---
 
 <!-- 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_rand_50_v2_wnli
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_50_v2](https://huggingface.co/Hartunka/bert_base_rand_50_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_50_v2](https://huggingface.co/Hartunka/bert_base_rand_50_v2) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7615
-- Accuracy: 0.2254
+- Loss: 0.7005
+- Accuracy: 0.5634
 
 ## Model description
 

all_results.json

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+{
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+    "eval_samples_per_second": 856.574,
+    "eval_steps_per_second": 12.064,
+    "total_flos": 501226560460800.0,
+    "train_loss": 0.6973049110836453,
+    "train_runtime": 19.9196,
+    "train_samples": 635,
+    "train_samples_per_second": 1593.907,
+    "train_steps_per_second": 7.53
+}

eval_results.json

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+{
+    "epoch": 6.0,
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+    "eval_loss": 0.7005391120910645,
+    "eval_runtime": 0.0829,
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+    "eval_steps_per_second": 12.064
+}

logs/events.out.tfevents.1745505004.s_005_m.2892304.87

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b54a12edde604325ae03310c92a722bafcecfabc3a2005b4db16c4bfc804d5eb
+size 357

train_results.json

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+    "train_loss": 0.6973049110836453,
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+    "train_samples": 635,
+    "train_samples_per_second": 1593.907,
+    "train_steps_per_second": 7.53
+}

trainer_state.json

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+{
+  "best_global_step": 3,
+  "best_metric": 0.7005391120910645,
+  "best_model_checkpoint": "bert_base_rand_50_v2_wnli/checkpoint-3",
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+  "global_step": 18,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+}