End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_20_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_20_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: 0.7947247706422018
 ---
 
 <!-- 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_v2_sst2
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_20_v2](https://huggingface.co/Hartunka/tiny_bert_rand_20_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_20_v2](https://huggingface.co/Hartunka/tiny_bert_rand_20_v2) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8194
-- Accuracy: 0.7787
+- Loss: 0.4702
+- Accuracy: 0.7947
 
 ## Model description
 

all_results.json

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+    "eval_steps_per_second": 14.04,
+    "total_flos": 1.0596790573590528e+16,
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+    "train_runtime": 219.9377,
+    "train_samples": 67349,
+    "train_samples_per_second": 15310.928,
+    "train_steps_per_second": 60.017
+}

eval_results.json

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+{
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+    "eval_runtime": 0.2849,
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+    "eval_steps_per_second": 14.04
+}

logs/events.out.tfevents.1745314125.s_005_m.2850172.29

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87bf435fac4ef5bd13739c00534a5e2a5503f8da00edf9e854bcb961989460bb
+size 363

train_results.json

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+}

trainer_state.json

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+{
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+  "best_metric": 0.47022947669029236,
+  "best_model_checkpoint": "tiny_bert_rand_20_v2_sst2/checkpoint-264",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
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+}