End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_5_v1_book
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_5_v1_book_qnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE QNLI
+      type: glue
+      args: qnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8544755628775398
 ---
 
 <!-- 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. -->
 
 # bert_base_lda_5_v1_book_qnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1_book) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1_book) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5504
-- Accuracy: 0.8547
+- Loss: 0.3441
+- Accuracy: 0.8545
 
 ## Model description
 

all_results.json

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+{
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+    "eval_steps_per_second": 6.272,
+    "total_flos": 9.645664445050368e+16,
+    "train_loss": 0.20949012344307186,
+    "train_runtime": 1250.1394,
+    "train_samples": 104743,
+    "train_samples_per_second": 4189.253,
+    "train_steps_per_second": 16.398
+}

eval_results.json

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+{
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+    "eval_loss": 0.3441010117530823,
+    "eval_runtime": 3.5074,
+    "eval_samples": 5463,
+    "eval_samples_per_second": 1557.554,
+    "eval_steps_per_second": 6.272
+}

logs/events.out.tfevents.1733827953.ki-g0008.520107.5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5c5fc2756b5666bef16f6a9c8fbf7f6fcb7d55532e7f0d5d053d0419cb57bbd8
+size 411

train_results.json

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+{
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+    "train_loss": 0.20949012344307186,
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+    "train_samples_per_second": 4189.253,
+    "train_steps_per_second": 16.398
+}

trainer_state.json

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+{
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+  "best_model_checkpoint": "bert_base_lda_5_v1_book_qnli/checkpoint-820",
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
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+}