End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: Hartunka/tiny_bert_rand_10_v2
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_rand_10_v2_rte
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE RTE
+      type: glue
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.5667870036101083
 ---
 
 <!-- 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_10_v2_rte
 
-This model is a fine-tuned version of [Hartunka/tiny_bert_rand_10_v2](https://huggingface.co/Hartunka/tiny_bert_rand_10_v2) on an unknown dataset.
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_10_v2](https://huggingface.co/Hartunka/tiny_bert_rand_10_v2) on the GLUE RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0409
-- Accuracy: 0.4982
+- Loss: 0.6876
+- Accuracy: 0.5668
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
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+    "eval_steps_per_second": 15.238,
+    "total_flos": 457076966492160.0,
+    "train_loss": 0.5957424640655518,
+    "train_runtime": 15.6236,
+    "train_samples": 2490,
+    "train_samples_per_second": 7968.708,
+    "train_steps_per_second": 32.003
+}

eval_results.json

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+{
+    "epoch": 7.0,
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+    "eval_loss": 0.6876339912414551,
+    "eval_runtime": 0.1313,
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+    "eval_steps_per_second": 15.238
+}

logs/events.out.tfevents.1745309359.s_005_m.2850172.9

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+version https://git-lfs.github.com/spec/v1
+oid sha256:008f6c837a3f42da09f5d5e972a548ee4b9c14220f2acc6a1254584b32aeeede
+size 357

train_results.json

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+{
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+    "train_loss": 0.5957424640655518,
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+    "train_samples_per_second": 7968.708,
+    "train_steps_per_second": 32.003
+}

trainer_state.json

@@ -0,0 +1,164 @@
+{
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+  "best_metric": 0.6876339912414551,
+  "best_model_checkpoint": "tiny_bert_rand_10_v2_rte/checkpoint-20",
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+  "global_step": 70,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+}