执行下面这个脚本对模型进行评估,通过字符错误率来评价模型的性能,详细参数请查看该程序。
python eval.py --resume_model=models/deepspeech2/epoch_50
输出结果:
----------- Configuration Arguments -----------
alpha: 1.2
batch_size: 32
beam_size: 10
beta: 0.35
cutoff_prob: 1.0
cutoff_top_n: 40
dataset_vocab: dataset/vocabulary.txt
decoder: ctc_greedy
lang_model_path: lm/zh_giga.no_cna_cmn.prune01244.klm
mean_std_path: dataset/mean_std.npz
num_proc_bsearch: 8
num_workers: 8
use_model: deepspeech2
resume_model: models/deepspeech2/epoch_50
test_manifest: dataset/manifest.test
------------------------------------------------
W0918 10:33:58.960235 16295 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.5, Driver API Version: 11.0, Runtime API Version: 10.2
W0918 10:33:58.963088 16295 device_context.cc:422] device: 0, cuDNN Version: 7.6.
100%|██████████████████████████████| 45/45 [00:09<00:00, 4.50it/s]
评估消耗时间:10s,字错率:0.095808