min_count=99,
sample=0.00005,
dm=1,
dm_concat=0,
hs=0,
epochs=5,
min_alpha=0.0002,
alpha=0.0002 * 25 * 5,
comment='ech05,mal0002x25',
)
saved_fname = 'models/' + __file__.replace('.py', '.bin')
pprint.pprint(common_kwargs)
base.train(common_kwargs, saved_fname)
"""
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
EXAMINING RESULTS
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Model details: Doc2Vec("ech05,mal0002x25",dm/m,d15,n67,w5,mc99,s5e-05,t6)
Save model to: models/dmm_d15_n67_w5_mc99_s00005_ech05_mal0002x25_thefinal.bin
2020-09-22 18:05:06,930 : INFO : saving Doc2Vec object under models/dmm_d15_n67_w5_mc99_s00005_ech05_mal0002x25_thefinal.bin, separately None
2020-09-22 18:05:06,930 : INFO : storing np array 'vectors_docs_lockf' to models/dmm_d15_n67_w5_mc99_s00005_ech05_mal0002x25_thefinal.bin.trainables.vectors_docs_lockf.npy
2020-09-22 18:05:06,959 : INFO : storing np array 'vectors_docs' to models/dmm_d15_n67_w5_mc99_s00005_ech05_mal0002x25_thefinal.bin.docvecs.vectors_docs.npy
sample=0.00005,
dm=1,
dm_concat=1,
hs=0,
epochs=5,
min_alpha=0.0002,
alpha=0.0002 * 25 * 5,
comment='ech05,mal0002x25,blogwikgutimdb',
)
saved_fname = 'models/' + __file__.replace('.py', '.bin')
pprint.pprint(common_kwargs)
base.train(common_kwargs=common_kwargs,
saved_fname=saved_fname,
evaluate=False,
database='blogwikgutimdb')
"""
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
EXAMINING THE MODEL
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Model details: Doc2Vec("ech05,mal0002x25,blogwikgutimdb",dm/c,d15,n40,w2,mc99,s5e-05,t6)
Save model to: models/dmc_d15_n40_w2_mc99_s00005_ech05_mal0002x25_blogwikgutimdb.bin
2020-09-29 17:18:46,511 : INFO : saving Doc2Vec object under models/dmc_d15_n40_w2_mc99_s00005_ech05_mal0002x25_blogwikgutimdb.bin, separately None
2020-09-29 17:18:46,511 : INFO : storing np array 'vectors_docs' to models/dmc_d15_n40_w2_mc99_s00005_ech05_mal0002x25_blogwikgutimdb.bin.docvecs.vectors_docs.npy
min_count=99,
sample=0.00005,
dm=1,
dm_concat=1,
hs=0,
epochs=5,
min_alpha=0.0005,
alpha=0.0005*20*5,
comment='ech05,mal0005x20',
)
saved_fname = 'models/' + __file__.replace('.py', '.bin')
pprint.pprint(common_kwargs)
base.train(common_kwargs=common_kwargs, saved_fname=saved_fname, evaluate=False)
"""
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
EXAMINING THE MODEL
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Model details: Doc2Vec("ech05,mal0005x20",dm/c,d15,n72,w7,mc99,s5e-05,t6)
Save model to: models/dmc_d15_n72_w7_mc99_s00005_ech05_mal0005x20_refined.bin
2020-09-25 10:42:05,022 : INFO : saving Doc2Vec object under models/dmc_d15_n72_w7_mc99_s00005_ech05_mal0005x20_refined.bin, separately None
2020-09-25 10:42:05,022 : INFO : storing np array 'syn1neg' to models/dmc_d15_n72_w7_mc99_s00005_ech05_mal0005x20_refined.bin.trainables.syn1neg.npy
dm=1,
dm_concat=1,
hs=0,
epochs=5,
min_alpha=0.0002,
alpha=0.0002*30*5,
comment='ech05,mal0002*50,refined',
)
saved_fname = 'models/' + __file__.replace('.py', '.bin')
pprint.pprint(common_kwargs)
base.train(
common_kwargs=common_kwargs,
saved_fname=saved_fname,
evaluate=False,
database='refined')
"""
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
EXAMINING THE MODEL
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
Model details: Doc2Vec("ech05,mal0002*50,refined",dm/c,d15,n72,w2,mc99,s0.0005,t6)
Save model to: models/dmc_d15_n72_w2_mc99_s0005_ech05_mal0002x30_refined.bin
sample=0.00005,
dm=1,
dm_concat=1,
hs=0,
epochs=5,
min_alpha=0.0002,
alpha=0.0002 * 25 * 5,
comment='ech05,mal0002x25,blogwikgutimdb',
)
saved_fname = 'models/' + __file__.replace('.py', '.bin')
pprint.pprint(common_kwargs)
base.train(common_kwargs=common_kwargs,
saved_fname=saved_fname,
evaluate=True,
database="blogwikgutimdb")
"""
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
EXAMINING THE MODEL
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*
INFO: Training parameters: {'vector_size': 15, 'negative': 72, 'window': 7, 'min_count': 99, 'sample': 5e-05, 'dm': 1, 'dm_concat': 1, 'hs': 0, 'epochs': 5, 'min_alpha': 0.0002, 'alpha': 0.025, 'comment': 'ech05,mal0002x25,blogwikgutimdb'}
INFO: Model details: Doc2Vec("ech05,mal0002x25,blogwikgutimdb",dm/c,d15,n72,w7,mc99,s5e-05,t6)
INFO: Save model to: models/dmc_d15_n72_w7_mc99_s00005_ech05_mal0002x25_blogwikgutimdb.bin
2020-10-01 18:40:35,744 : INFO : saving Doc2Vec object under models/dmc_d15_n72_w7_mc99_s00005_ech05_mal0002x25_blogwikgutimdb.bin, separately None
