SlowGuess/NAACL_2021_OCR huggingface dataset:
Table 8: Statistics of the yes-no questions subset from the Amazon-PQA dataset, and the train, dev, test splits used in our experiments. Only categories used for our experiments are displayed. *Macro average
Category	# Epochs	Learning Rate
Light Bars	3	3.0E-5
Monitors	4	3.0E-5
Smartwatches	3	3.0E-5
Receivers	4	3.0E-5
Backpacks	4	3.0E-5
Jeans	3	2.0E-5
Beds	4	4.0E-5
Home Office Desks	3	2.0E-5
Masks	3	3.0E-5
Posters & Prints	3	2.0E-5
Accessories	3	2.0E-5
Table 9: Number of epochs and learning rates used for training the CPS model (Section 5.2) on each category
Category	η1	η2	η3
Light Bars	3	8	2
Monitors	6	2	63
Smartwatches	2	11	49
Receivers	2	0	0
Backpacks	1	4	17
Jeans	7	8	22
Beds	1	0	0
Home Office Desks	4	1	38
Masks	4	6	3
Posters & Prints	5	0	18
Accessories	1	2	16
Table 10:  $\eta_{1}$ ,  $\eta_{2}$  and  $\eta_{3}$  values used after fine-tuning on our development set (Section 5.3). Larger  $\eta$  values give more weight to the APC vote.