End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_rand_100_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_rand_100_v2_sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8061926605504587
 ---
 
 <!-- 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_100_v2_sst2
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_100_v2](https://huggingface.co/Hartunka/bert_base_rand_100_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_100_v2](https://huggingface.co/Hartunka/bert_base_rand_100_v2) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8250
-- Accuracy: 0.7947
+- Loss: 0.4424
+- Accuracy: 0.8062
 
 ## Model description
 

all_results.json

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+{
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+    "eval_samples_per_second": 1468.95,
+    "eval_steps_per_second": 6.738,
+    "total_flos": 5.316079940232192e+16,
+    "train_loss": 0.17438846886760057,
+    "train_runtime": 669.727,
+    "train_samples": 67349,
+    "train_samples_per_second": 5028.094,
+    "train_steps_per_second": 19.71
+}

eval_results.json

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+{
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+    "eval_runtime": 0.5936,
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+    "eval_samples_per_second": 1468.95,
+    "eval_steps_per_second": 6.738
+}

logs/events.out.tfevents.1745517675.s_005_m.2892304.101

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+oid sha256:8661b7b9643c58fd87e2cfe82cad9a6d7e82d146cb7b126e0d0bd426ecc5823d
+size 363

train_results.json

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+{
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+    "train_loss": 0.17438846886760057,
+    "train_runtime": 669.727,
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+    "train_samples_per_second": 5028.094,
+    "train_steps_per_second": 19.71
+}

trainer_state.json

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+{
+  "best_global_step": 264,
+  "best_metric": 0.4423932433128357,
+  "best_model_checkpoint": "bert_base_rand_100_v2_sst2/checkpoint-264",
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+  "global_step": 1584,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}