FiD-3B-TQA / README.md
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---
license: cc-by-4.0
---
# FiD model trained on TQA
-- This is the model checkpoint of FiD [2], based on the T5 (with 3B parameters) and trained on the TQA dataset [1].
-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps
References:
[1] TriviaQA: A Large Scale Dataset for Reading Comprehension and Question Answering. ACL 2017
[2] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021.
## Model performance
We evaluate it on the TQA dataset, the EM score is 66.1 on the test set.
<a href="https://huggingface.co/exbert/?model=bert-base-uncased">
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
</a>