Formation of the neural network architecture of the model and downloading its weights to obtain features / scores based on hand-crafted features (text modality)
_b5.text_model_hc_- Neural network model tf.keras.Model for obtaining features / scores by hand-crafted features
Import required packages
[2]:
from oceanai.modules.lab.build import Run
Build
[3]:
_b5 = Run(
lang = 'en', # Inference language
color_simple = '#333', # Plain text color (hexadecimal code)
color_info = '#1776D2', # The color of the text containing the information (hexadecimal code)
color_err = '#FF0000', # Error text color (hexadecimal code)
color_true = '#008001', # Text color containing positive information (hexadecimal code)
bold_text = True, # Bold text
num_to_df_display = 30, # Number of rows to display in tables
text_runtime = 'Runtime', # Runtime text
metadata = True # Displaying information about library
)
[2023-12-10 17:11:13] OCEANAI - personality traits: Authors: Elena Ryumina [ryumina_ev@mail.ru] Dmitry Ryumin [dl_03.03.1991@mail.ru] Alexey Karpov [karpov@iias.spb.su] Maintainers: Elena Ryumina [ryumina_ev@mail.ru] Dmitry Ryumin [dl_03.03.1991@mail.ru] Version: 1.0.0a5 License: BSD License
Formation of the neural network architecture of the model (FI V2
[4]:
res_load_text_model_hc_fi = _b5.load_text_model_hc(
corpus = "fi", # Corpus selection for models trained on First Impressions V2 'fi' and models trained on for MuPTA 'mupta'
show_summary = False, # Displaying the formed neural network architecture of the model
out = True, # Display
runtime = True, # Runtime count
run = True # Run blockin
)
[2023-12-10 17:11:13] Formation of the neural network architecture of the model for obtaining scores by hand-crafted features (text modality) …
— Runtime: 1.886 sec. —
Downloading the weights of the neural network model
[5]:
# Core settings
_b5.path_to_save_ = './models' # Directory to save the file
_b5.chunk_size_ = 2000000 # File download size from network in 1 step
url = _b5.weights_for_big5_['text']['fi']['hc']['sberdisk']
res_load_text_model_weights_hc_fi = _b5.load_text_model_weights_hc(
url = url, # Full path to the file with weights of the neural network model
force_reload = True, # Forced download of a file with weights of a neural network model from the network
out = True, # Display
runtime = True, # Runtime count
run = True # Run blocking
)
[2023-12-10 16:54:00] Downloading the weights of a neural network model to obtain hand-crafted features (text modality) …
[2023-12-10 16:54:01] File download “weights_2023-07-15_10-52-15.h5” 100.0% …
— Runtime: 0.311 sec. —
Displaying the formed neural network architecture of the model
[6]:
_b5.text_model_hc_.summary()
Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
model_hc/input (InputLayer) [(None, 89, 64)] 0 []
model_hc/bilstm_1 (Bidirection (None, 89, 64) 24832 ['model_hc/input[0][0]']
al)
model_hc/dence_2 (Dense) (None, 89, 64) 4160 ['model_hc/input[0][0]']
model_hc/attention (Attention) (None, 89, 64) 0 ['model_hc/bilstm_1[0][0]',
'model_hc/bilstm_1[0][0]']
model_hc/bilstm_2 (Bidirection (None, 89, 64) 24832 ['model_hc/dence_2[0][0]']
al)
add (Add) (None, 89, 64) 0 ['model_hc/bilstm_1[0][0]',
'model_hc/attention[0][0]',
'model_hc/bilstm_2[0][0]']
model_hc/add (Addition) (None, 128) 0 ['add[0][0]']
dense (Dense) (None, 5) 645 ['model_hc/add[0][0]']
==================================================================================================
Total params: 54,469
Trainable params: 54,469
Non-trainable params: 0
__________________________________________________________________________________________________
Formation of the neural network architecture of the model (MuPTA)
[7]:
res_load_text_model_hc_mupta = _b5.load_text_model_hc(
corpus = "mupta", # Corpus selection for models trained on First Impressions V2 'fi' and models trained on for MuPTA 'mupta'
show_summary = False, # Displaying the formed neural network architecture of the model
out = True, # Display
runtime = True, # Runtime count
run = True # Run blocking
)
[2023-12-10 16:54:06] Formation of the neural network architecture of the model for obtaining scores by hand-crafted features (text modality) …
— Runtime: 0.577 sec. —
Downloading the weights of the neural network model
[8]:
# Core settings
_b5.path_to_save_ = './models' # Directory to save the file
_b5.chunk_size_ = 2000000 # File download size from network in 1 step
url = _b5.weights_for_big5_['text']['mupta']['hc']['sberdisk']
res_load_text_model_weights_hc_mupta = _b5.load_text_model_weights_hc(
url = url, # Full path to the file with weights of the neural network model
force_reload = True, # Forced download of a file with weights of a neural network model from the network
out = True, # Display
runtime = True, # Runtime count
run = True # Run blocking
)
[2023-12-10 16:54:19] Downloading the weights of a neural network model to obtain hand-crafted features (text modality) …
[2023-12-10 16:54:19] File download “weights_2023-07-15_10-53-38.h5” 100.0% …
— Runtime: 0.264 sec. —
Displaying the formed neural network architecture of the model
[9]:
_b5.text_model_hc_.summary()
Model: "model_1"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
model_hc/input (InputLayer) [(None, 365, 64)] 0 []
model_hc/bilstm_1 (Bidirection (None, 365, 64) 24832 ['model_hc/input[0][0]']
al)
model_hc/dence_2 (Dense) (None, 365, 64) 4160 ['model_hc/input[0][0]']
model_hc/attention (Attention) (None, 365, 64) 0 ['model_hc/bilstm_1[0][0]',
'model_hc/bilstm_1[0][0]']
model_hc/bilstm_2 (Bidirection (None, 365, 64) 24832 ['model_hc/dence_2[0][0]']
al)
add_1 (Add) (None, 365, 64) 0 ['model_hc/bilstm_1[0][0]',
'model_hc/attention[0][0]',
'model_hc/bilstm_2[0][0]']
model_hc/add (Addition) (None, 128) 0 ['add_1[0][0]']
dense_1 (Dense) (None, 5) 645 ['model_hc/add[0][0]']
==================================================================================================
Total params: 54,469
Trainable params: 54,469
Non-trainable params: 0
__________________________________________________________________________________________________