Python 在tensorflow中培训我的模型时，我可以'；我们看不到进展产出

我正在训练语音识别模型，但训练模型时无法显示输出进度

我的代码

import numpy as np
import tensorflow as tf
import automatic_speech_recognition as asr

dataset = asr.dataset.Audio.from_csv('test.csv', batch_size=1)
dev_dataset = asr.dataset.Audio.from_csv('test.csv', batch_size=1)
alphabet = asr.text.Alphabet(lang='en')
features_extractor = asr.features.FilterBanks(
    features_num=160,
    winlen=0.02,
    winstep=0.01,
    winfunc=np.hanning
)
model = asr.model.get_deepspeech2(
    input_dim=160,
    output_dim=29,
    rnn_units=800,
    is_mixed_precision=False
)
optimizer = tf.optimizers.Adam(
    lr=1e-4,
    beta_1=0.9,
    beta_2=0.999,
    epsilon=1e-8
)
decoder = asr.decoder.GreedyDecoder()
pipeline = asr.pipeline.CTCPipeline(
    alphabet, features_extractor, model, optimizer, decoder
)
pipeline.fit(dataset, dev_dataset, epochs=5)
pipeline.save('/checkpoint')

---

不确定，但我认为您缺少了“verbose”，它的值为0-2，0不显示任何内容，而1显示条进度，2显示纪元数

尝试：

pipeline.fit(dataset, dev_dataset, epochs=5, verbose=1)