End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_50_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - matthews_correlation
 - accuracy
 model-index:
 - name: tiny_bert_rand_50_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. -->
 
 # tiny_bert_rand_50_v2_cola
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_50_v2](https://huggingface.co/Hartunka/tiny_bert_rand_50_v2) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7221
-- Matthews Correlation: 0.0817
-- Accuracy: 0.6376
+- Loss: 0.6176
+- Matthews Correlation: 0.0
+- Accuracy: 0.6913
 
 ## Model description
 

all_results.json

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+{
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+    "eval_runtime": 0.3611,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 2888.614,
+    "eval_steps_per_second": 13.848,
+    "total_flos": 1345426898614272.0,
+    "train_loss": 0.5467501154132918,
+    "train_runtime": 34.2397,
+    "train_samples": 8551,
+    "train_samples_per_second": 12486.959,
+    "train_steps_per_second": 49.65
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.6912751793861389,
+    "eval_loss": 0.6175676584243774,
+    "eval_matthews_correlation": 0.0,
+    "eval_runtime": 0.3611,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 2888.614,
+    "eval_steps_per_second": 13.848
+}

logs/events.out.tfevents.1745316421.s_005_m.2850172.37

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e0fc14512f194c41ce01c8f9aac6039c7d2bf79e35329f1e337d62585cf4e940
+size 427

train_results.json

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+{
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+    "total_flos": 1345426898614272.0,
+    "train_loss": 0.5467501154132918,
+    "train_runtime": 34.2397,
+    "train_samples": 8551,
+    "train_samples_per_second": 12486.959,
+    "train_steps_per_second": 49.65
+}

trainer_state.json

@@ -0,0 +1,154 @@
+{
+  "best_global_step": 34,
+  "best_metric": 0.6175676584243774,
+  "best_model_checkpoint": "tiny_bert_rand_50_v2_cola/checkpoint-34",
+  "epoch": 6.0,
+  "eval_steps": 500,
+  "global_step": 204,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 50,
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+  "stateful_callbacks": {
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+}