End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/bert_base_rand_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: bert_base_rand_10_v2_cola
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE COLA
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.0
+    - name: Accuracy
+      type: accuracy
+      value: 0.6912751793861389
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_rand_10_v2_cola
 
-This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/bert_base_rand_10_v2](https://huggingface.co/Hartunka/bert_base_rand_10_v2) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8319
-- Matthews Correlation: 0.0785
-- Accuracy: 0.6433
+- Loss: 0.6198
+- Matthews Correlation: 0.0
+- Accuracy: 0.6913
 
 ## Model description
 

all_results.json

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+{
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+    "eval_runtime": 0.6915,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 1508.269,
+    "eval_steps_per_second": 7.23,
+    "total_flos": 6749587903150080.0,
+    "train_loss": 0.5150212961084703,
+    "train_runtime": 100.0509,
+    "train_samples": 8551,
+    "train_samples_per_second": 4273.326,
+    "train_steps_per_second": 16.991
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
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+    "eval_accuracy": 0.6912751793861389,
+    "eval_loss": 0.6197782754898071,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 0.6915,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 1508.269,
+    "eval_steps_per_second": 7.23
+}

logs/events.out.tfevents.1745469410.s_005_m.2892304.37

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+version https://git-lfs.github.com/spec/v1
+oid sha256:96a5d202816cb260ae78caa2ebb232ca0cb91b3033d7e571ab2af53ef9e16c66
+size 427

train_results.json

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+{
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+    "train_loss": 0.5150212961084703,
+    "train_runtime": 100.0509,
+    "train_samples": 8551,
+    "train_samples_per_second": 4273.326,
+    "train_steps_per_second": 16.991
+}

trainer_state.json

@@ -0,0 +1,154 @@
+{
+  "best_global_step": 34,
+  "best_metric": 0.6197782754898071,
+  "best_model_checkpoint": "bert_base_rand_10_v2_cola/checkpoint-34",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}