End of training

README.md

@@ -1,14 +1,32 @@
 ---
 library_name: transformers
+language:
+- en
 base_model: gokulsrinivasagan/bert_base_lda_5_v1_book
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - accuracy
 - f1
 model-index:
 - name: bert_base_lda_5_v1_book_mrpc
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7181372549019608
+    - name: F1
+      type: f1
+      value: 0.8130081300813008
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,12 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert_base_lda_5_v1_book_mrpc
 
-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 MRPC dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8087
-- Accuracy: 0.7255
-- F1: 0.825
-- Combined Score: 0.7752
+- Loss: 0.5504
+- Accuracy: 0.7181
+- F1: 0.8130
+- Combined Score: 0.7656
 
 ## Model description
 

all_results.json

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+}

eval_results.json

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+}

logs/events.out.tfevents.1733826618.ki-g0008.520107.3

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+oid sha256:8fa39881195d74bc98c236cf1e2eb0e13cd8a38eb7905e7b2ed0eb3a8ee6a53a
+size 515

train_results.json

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+}

trainer_state.json

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