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### Korean FrameNet ###
# contact: hahmyg@kaist, hahmyg@gmail.com #
###DEVICE: cuda:0
###multilingual-for-en-masking
### Your result would be saved to: /disk/data/models/results/framenet/mulModel-100-for-en/en_ko_for_en_with_masking_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_ko
Viterbi: False
masking: True
using TGT token: True
### model dir: /disk/data/models/dict_framenet/mulModel-100/36/
### TARGET LANGUAGE: en
srl model: framenet
language: multilingual
version: 1.1
using viterbi: False
using masking: True
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/mulModel-100/36/
/disk/data/models/dict_framenet/mulModel-100/36/
...model is loaded
# EPOCH: 36
SenseId Accuracy: 0.8833780160857909
ArgId Precision: 0.35942986986159886
ArgId Recall: 0.3079101044062998
ArgId F1: 0.3316812809759817
full-structure Precision: 0.5936837278615235
full-structure Recall: 0.5430428856034393
full-structure F1: 0.5672352892856165
-----processing time: 0hour:29min:24sec
### model dir: /disk/data/models/dict_framenet/mulModel-100/3/
### TARGET LANGUAGE: en
srl model: framenet
language: multilingual
version: 1.1
using viterbi: False
using masking: True
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/mulModel-100/3/
/disk/data/models/dict_framenet/mulModel-100/3/
...model is loaded
# EPOCH: 3
SenseId Accuracy: 0.8972296693476318
ArgId Precision: 0.5029964448958862
ArgId Recall: 0.4381525393735622
ArgId F1: 0.4683406629782002
full-structure Precision: 0.6784333788085494
full-structure Recall: 0.6257208765859285
full-structure F1: 0.6510118365788469
-----processing time: 0hour:54min:35sec
### model dir: /disk/data/models/dict_framenet/mulModel-100/15/
### TARGET LANGUAGE: en
srl model: framenet
language: multilingual
version: 1.1
using viterbi: False
using masking: True
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/mulModel-100/15/
/disk/data/models/dict_framenet/mulModel-100/15/
...model is loaded