Sadat07
/

bert-SQuAD

Question Answering

Inference Endpoints

Model card Files Files and versions Community

Sadat07 commited on Dec 2, 2024

Commit

aa54c28

•

1 Parent(s): 959b942

Update README.md

Files changed (1) hide show

README.md +0 -1

README.md CHANGED Viewed

@@ -135,7 +135,6 @@ Validation Loss: Reduced to 0.46
 Start Accuracy: Peaked at 87.69%
 End Accuracy: Peaked at 90.19%
-#### Summary
 #### Summary
 The model, **bert_squad**, was fine-tuned for context-based question answering using the SQuAD dataset from Hugging Face. Key metrics include an Exact Match (EM) and F1 score of up to **87.69%**, demonstrating strong accuracy. Performance benchmarks show consistent improvement in loss and accuracy over 2000 steps, with validation loss reaching as low as **0.46**.

 Start Accuracy: Peaked at 87.69%
 End Accuracy: Peaked at 90.19%
 #### Summary
 The model, **bert_squad**, was fine-tuned for context-based question answering using the SQuAD dataset from Hugging Face. Key metrics include an Exact Match (EM) and F1 score of up to **87.69%**, demonstrating strong accuracy. Performance benchmarks show consistent improvement in loss and accuracy over 2000 steps, with validation loss reaching as low as **0.46**.