End of training

README.md

@@ -1,13 +1,28 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_20_v1_book
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 model-index:
 - name: bert_base_lda_20_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: 0.862529745561047
 ---
 
 <!-- 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_20_v1_book_qnli
 
-This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on an unknown dataset.
+This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_20_v1_book](https://huggingface.co/gokulsrinivasagan/bert_base_lda_20_v1_book) on the GLUE QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6686
-- Accuracy: 0.8451
+- Loss: 0.3267
+- Accuracy: 0.8625
 
 ## Model description
 

all_results.json

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+    "train_steps_per_second": 16.489
+}

eval_results.json

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+{
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+    "eval_steps_per_second": 6.152
+}

logs/events.out.tfevents.1733840185.ki-g0008.520107.23

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a24c023ae056c1b69d9edbf7fe3c67ad295bb1018f123bb8ce17d69d58d457c
+size 411

train_results.json

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+}

trainer_state.json

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+}