kaiser/nomasking.out at master · machinereading/kaiser · GitHub

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### Korean FrameNet ###
	# contact: hahmyg@kaist, hahmyg@gmail.com #


	###DEVICE: cuda:0
	###multilingual-for-en-without-masking
### Your result would be saved to: /disk/data/models/results/framenet/enModel-with-exemplar/en_with_exem_for_en_result.txt
# of instances in trn: 19391
# of instances in dev: 2272
# of instances in tst: 6714
data example: [['Greece', 'wildfires', 'force', 'thousands', 'to', '<tgt>', 'evacuate', '</tgt>'], ['_', '_', '_', '_', '_', '_', 'evacuate.v', '_'], ['_', '_', '_', '_', '_', '_', 'Escaping', '_'], ['O', 'O', 'O', 'B-Escapee', 'O', 'X', 'O', 'X']]
### EVALUATION
MODE: framenet
target LANGUAGE: en
trained LANGUAGE: en_with_exem
Viterbi: False
masking: False
using TGT token: True
### model dir: /disk/data/models/dict_framenet/enModel-with-exemplar/9/
### TARGET LANGUAGE: en
srl model: framenet
language: multilingual
version: 1.1
using viterbi: False
using masking: False
pretrained BERT: bert-base-multilingual-cased
using TGT special token: True
used dictionary:
	 /disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lu2idx.json
	 /disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_lufrmap.json
	 /disk/kaiser/kaiser/src/../koreanframenet/resource/info/mul_bio_frargmap.json
...loaded model path: /disk/data/models/dict_framenet/enModel-with-exemplar/9/
/disk/data/models/dict_framenet/enModel-with-exemplar/9/
...model is loaded
# EPOCH: 9
SenseId Accuracy: 0.8507596067917784
ArgId Precision: 0.5836469928725875
ArgId Recall: 0.6448416209520439
ArgId F1: 0.612720164782042
full-structure Precision: 0.6855817625579789
full-structure Recall: 0.7284261298102128
full-structure F1: 0.7063548551093035
-----processing time: 0hour:20min:50sec


	### Your result is saved at: /disk/data/models/results/framenet/enModel-with-exemplar/en_with_exem_for_en_result.txt