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showmodel.py
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showmodel.py
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import os
import argparse
import torch
from utils import load_model
parser = argparse.ArgumentParser(description='DeepSpeech model information')
parser.add_argument('model_path', metavar='FILE', help='Path to model created by training')
args = parser.parse_args()
if __name__ == '__main__':
model, package = load_model(args.model_path)
print("Model name: ", model.name)
print("Model version: ", model.version)
print("")
print(model)
print("")
print("Model Features")
print(" Input Format: ", model.audio_conf.get("input_format", "n/a"))
print(" Sample Rate: ", model.audio_conf.get("sample_rate", "n/a"))
print(" Window Type: ", model.audio_conf.get("window", "n/a"))
print(" Window Size: ", model.audio_conf.get("window_size", "n/a"))
print(" Window Stride: ", model.audio_conf.get("window_stride", "n/a"))
print(" Minimum Note: ", model.audio_conf.get("min_note", "n/a"))
print(" Bins per octave: ", model.audio_conf.get("bins_per_octave", "n/a"))
print(" Number of octaves:", model.audio_conf.get("num_octaves", "n/a"))
print(" Output Classes: ", len(model.labels))
print(" Labels: ")
print(model.labels)
print("")
if package.get('optim_dict', None) is not None:
print("Optimizer")
print(f" Params: {package['optim_dict']['param_groups'][0].keys()}")
try:
print(f" LR_init: {package['optim_dict']['param_groups'][0]['initial_lr']}")
except KeyError:
pass
print(f" LR_current: {package['optim_dict']['param_groups'][0]['lr']}")
print("")
if package.get('train_results', None) is not None:
print("Training Information")
epochs = package['epoch']
print(" Epochs: ", epochs + 1)
print(" Current Train Results: {0:.3f}".format(package['train_results'][epochs]))
print(" Current Validation Results: {0:.3f}".format(package['val_results'][epochs]))