End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_20_v1
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_20_v1_wnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE WNLI
+      type: glue
+      args: wnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.30985915492957744
 ---
 
 <!-- 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. -->
 
 # tiny_bert_rand_20_v1_wnli
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_20_v1](https://huggingface.co/Hartunka/tiny_bert_rand_20_v1) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_20_v1](https://huggingface.co/Hartunka/tiny_bert_rand_20_v1) on the GLUE WNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8489
-- Accuracy: 0.1408
+- Loss: 0.7453
+- Accuracy: 0.3099
 
 ## Model description
 

all_results.json

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+{
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+    "eval_steps_per_second": 28.17,
+    "total_flos": 99911832606720.0,
+    "train_loss": 0.6877942879994711,
+    "train_runtime": 6.9447,
+    "train_samples": 635,
+    "train_samples_per_second": 4571.802,
+    "train_steps_per_second": 21.599
+}

eval_results.json

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+{
+    "epoch": 6.0,
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+    "eval_runtime": 0.0355,
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+    "eval_samples_per_second": 2000.078,
+    "eval_steps_per_second": 28.17
+}

logs/events.out.tfevents.1744654816.s_005_m.2701049.105

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87b6fe34cda585938827895f4c15ac47b3c823eb67ceca9877f8a4ded5a73f3d
+size 357

train_results.json

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+    "train_loss": 0.6877942879994711,
+    "train_runtime": 6.9447,
+    "train_samples": 635,
+    "train_samples_per_second": 4571.802,
+    "train_steps_per_second": 21.599
+}

trainer_state.json

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+{
+  "best_global_step": 3,
+  "best_metric": 0.7452685236930847,
+  "best_model_checkpoint": "tiny_bert_rand_20_v1_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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+}