csukuangfj
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Add README.
Browse files- README.md +114 -0
- log/log-decode-2021-11-09-17-38-28 +1183 -0
README.md
ADDED
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# Introduction
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## How to clone this repo
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```
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sudo apt-get install git-lfs
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git clone https://huggingface.co/csukuangfj/icefall-asr-librispeech-conformer-ctc-jit-bpe-500-2021-11-09
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cd icefall-asr-librispeech-conformer-ctc-jit-bpe-500-2021-11-09
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git lfs pull
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```
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**Catuion**: You have to run `git lfs pull`. Otherwise, you will be SAD later.
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-----
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## Description
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This repo provides pre-trained conformer CTC model for the librispeech dataset
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using [icefall][icefall].
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The commands for training are:
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```
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cd egs/librispeech/ASR/conformer_ctc
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./prepare.sh
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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./conformer_ctc/train.py \
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--exp-dir conformer_ctc/exp_500_att0.8 \
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--lang-dir data/lang_bpe_500 \
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--att-rate 0.8 \
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--full-libri 1 \
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--max-duration 200 \
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--concatenate-cuts 0 \
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--world-size 4 \
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--bucketing-sampler 1 \
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--start-epoch 00 \
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--num-epochs 80
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```
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The command for decoding is:
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```
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./conformer_ctc/decode.py \
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--exp-dir conformer_ctc/exp_500_att0.8 \
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--lang-dir data/lang_bpe_500 \
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--max-duration 30 \
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--concatenate-cuts 0 \
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--bucketing-sampler 1 \
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--num-paths 1000 \
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--epoch 77 \
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--avg 55 \
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--method attention-decoder \
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--nbest-scale 0.5
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```
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You can find the log in this repo: [log/log-decode-2021-11-09-17-38-28](log/log-decode-2021-11-09-17-38-28).
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The best WER for the librispeech test dataset is:
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| | test-clean | test-other |
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|-----|------------|------------|
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| WER | 2.42 | 5.73 |
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The best scale values are:
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| ngram_lm_scale | attention_scale |
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|----------------|-----------------|
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| 2.0 | 2.0 |
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# File description
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- `log/`, this directory contains the decoding log
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- `data/`, this directory contains files generated by `./prepare.sh`
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Note: For the `data/lm` directory, we provide only `G_4_gram.pt`. If you need other files
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in this directory, please run `./prepare.sh`.
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- `exp`, this directory contains two files: `preprained.pt` and `cpu_jit.pt`.
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`exp/pretrained.pt` is generated by the following command:
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```
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./conformer_ctc/export.py \
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--epoch 77 \
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--avg 55 \
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--jit 0 \
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--lang-dir data/lang_bpe_500 \
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--exp-dir conformer_ctc/exp_500_att0.8
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```
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`exp/cpu_jit.pt` is generated by the following command:
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```
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./conformer_ctc/export.py \
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--epoch 77 \
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--avg 55 \
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--jit 1 \
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--lang-dir data/lang_bpe_500 \
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--exp-dir conformer_ctc/exp_500_att0.8
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```
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# Deploy your model in C++ using k2
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To deploy your model in C++ using k2 without depending on Python, do the following:
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```
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# Note: It requires torch >= 1.8.0
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git clone https://github.com/k2-fsa/k2
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cd k2
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git checkout v2.0-pre
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mkdir build_release
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cd build_release
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cmake -DCMAKE_BUILD_TYPE=Release ..
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make -j ctc_decode ngram_lm_rescore attention_rescore
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```
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[icefall]: https://github.com/k2-fsa/icefall
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log/log-decode-2021-11-09-17-38-28
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1 |
+
2021-11-09 17:38:28,224 INFO [decode.py:540] Decoding started
|
2 |
+
2021-11-09 17:38:28,224 INFO [decode.py:541] {'lm_dir': PosixPath('data/lm'), 'subsampling_factor': 4, 'vgg_frontend': False, 'use_feat_batchnorm': True, 'feature_dim': 80, 'nhead': 8, 'attention_dim': 512, 'num_decoder_layers': 6, 'search_beam': 20, 'output_beam': 8, 'min_active_states': 30, 'max_active_states': 10000, 'use_double_scores': True, 'env_info': {'k2-version': '1.9', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '7178d67e594bc7fa89c2b331ad7bd1c62a6a9eb4', 'k2-git-date': 'Tue Oct 26 22:12:54 2021', 'lhotse-version': '0.11.0.dev+missing.version.file', 'torch-cuda-available': True, 'torch-cuda-version': '10.1', 'python-version': '3.8', 'icefall-git-branch': 'master', 'icefall-git-sha1': '42b437b-dirty', 'icefall-git-date': 'Fri Oct 29 13:46:41 2021', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-bpe-500', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-bpe-500/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-bpe-500/lhotse/__init__.py'}, 'epoch': 77, 'avg': 55, 'method': 'attention-decoder', 'num_paths': 1000, 'nbest_scale': 0.5, 'export': False, 'exp_dir': PosixPath('conformer_ctc/exp_500_att0.8'), 'lang_dir': PosixPath('data/lang_bpe_500'), 'full_libri': True, 'feature_dir': PosixPath('data/fbank'), 'max_duration': 30, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'return_cuts': True, 'num_workers': 2}
|
3 |
+
2021-11-09 17:38:28,593 INFO [lexicon.py:176] Loading pre-compiled data/lang_bpe_500/Linv.pt
|
4 |
+
2021-11-09 17:38:28,643 INFO [decode.py:551] device: cuda:0
|
5 |
+
2021-11-09 17:38:35,618 INFO [decode.py:606] Loading pre-compiled G_4_gram.pt
|
6 |
+
2021-11-09 17:38:49,084 INFO [decode.py:642] averaging ['conformer_ctc/exp_500_att0.8/epoch-23.pt', 'conformer_ctc/exp_500_att0.8/epoch-24.pt', 'conformer_ctc/exp_500_att0.8/epoch-25.pt', 'conformer_ctc/exp_500_att0.8/epoch-26.pt', 'conformer_ctc/exp_500_att0.8/epoch-27.pt', 'conformer_ctc/exp_500_att0.8/epoch-28.pt', 'conformer_ctc/exp_500_att0.8/epoch-29.pt', 'conformer_ctc/exp_500_att0.8/epoch-30.pt', 'conformer_ctc/exp_500_att0.8/epoch-31.pt', 'conformer_ctc/exp_500_att0.8/epoch-32.pt', 'conformer_ctc/exp_500_att0.8/epoch-33.pt', 'conformer_ctc/exp_500_att0.8/epoch-34.pt', 'conformer_ctc/exp_500_att0.8/epoch-35.pt', 'conformer_ctc/exp_500_att0.8/epoch-36.pt', 'conformer_ctc/exp_500_att0.8/epoch-37.pt', 'conformer_ctc/exp_500_att0.8/epoch-38.pt', 'conformer_ctc/exp_500_att0.8/epoch-39.pt', 'conformer_ctc/exp_500_att0.8/epoch-40.pt', 'conformer_ctc/exp_500_att0.8/epoch-41.pt', 'conformer_ctc/exp_500_att0.8/epoch-42.pt', 'conformer_ctc/exp_500_att0.8/epoch-43.pt', 'conformer_ctc/exp_500_att0.8/epoch-44.pt', 'conformer_ctc/exp_500_att0.8/epoch-45.pt', 'conformer_ctc/exp_500_att0.8/epoch-46.pt', 'conformer_ctc/exp_500_att0.8/epoch-47.pt', 'conformer_ctc/exp_500_att0.8/epoch-48.pt', 'conformer_ctc/exp_500_att0.8/epoch-49.pt', 'conformer_ctc/exp_500_att0.8/epoch-50.pt', 'conformer_ctc/exp_500_att0.8/epoch-51.pt', 'conformer_ctc/exp_500_att0.8/epoch-52.pt', 'conformer_ctc/exp_500_att0.8/epoch-53.pt', 'conformer_ctc/exp_500_att0.8/epoch-54.pt', 'conformer_ctc/exp_500_att0.8/epoch-55.pt', 'conformer_ctc/exp_500_att0.8/epoch-56.pt', 'conformer_ctc/exp_500_att0.8/epoch-57.pt', 'conformer_ctc/exp_500_att0.8/epoch-58.pt', 'conformer_ctc/exp_500_att0.8/epoch-59.pt', 'conformer_ctc/exp_500_att0.8/epoch-60.pt', 'conformer_ctc/exp_500_att0.8/epoch-61.pt', 'conformer_ctc/exp_500_att0.8/epoch-62.pt', 'conformer_ctc/exp_500_att0.8/epoch-63.pt', 'conformer_ctc/exp_500_att0.8/epoch-64.pt', 'conformer_ctc/exp_500_att0.8/epoch-65.pt', 'conformer_ctc/exp_500_att0.8/epoch-66.pt', 'conformer_ctc/exp_500_att0.8/epoch-67.pt', 'conformer_ctc/exp_500_att0.8/epoch-68.pt', 'conformer_ctc/exp_500_att0.8/epoch-69.pt', 'conformer_ctc/exp_500_att0.8/epoch-70.pt', 'conformer_ctc/exp_500_att0.8/epoch-71.pt', 'conformer_ctc/exp_500_att0.8/epoch-72.pt', 'conformer_ctc/exp_500_att0.8/epoch-73.pt', 'conformer_ctc/exp_500_att0.8/epoch-74.pt', 'conformer_ctc/exp_500_att0.8/epoch-75.pt', 'conformer_ctc/exp_500_att0.8/epoch-76.pt', 'conformer_ctc/exp_500_att0.8/epoch-77.pt']
|
7 |
+
2021-11-09 17:39:41,544 INFO [decode.py:656] Number of model parameters: 109226120
|
8 |
+
2021-11-09 17:39:42,948 INFO [decode.py:476] batch 0/?, cuts processed until now is 6
|
9 |
+
2021-11-09 17:41:18,029 INFO [decode.py:476] batch 100/?, cuts processed until now is 398
|
10 |
+
2021-11-09 17:42:46,219 INFO [decode.py:476] batch 200/?, cuts processed until now is 792
|
11 |
+
2021-11-09 17:44:11,780 INFO [decode.py:476] batch 300/?, cuts processed until now is 1160
|
12 |
+
2021-11-09 17:45:35,022 INFO [decode.py:476] batch 400/?, cuts processed until now is 1574
|
13 |
+
2021-11-09 17:47:01,868 INFO [decode.py:476] batch 500/?, cuts processed until now is 1965
|
14 |
+
2021-11-09 17:48:28,097 INFO [decode.py:476] batch 600/?, cuts processed until now is 2308
|
15 |
+
2021-11-09 17:50:02,831 INFO [decode.py:476] batch 700/?, cuts processed until now is 2498
|
16 |
+
2021-11-09 17:51:46,607 INFO [decode.py:476] batch 800/?, cuts processed until now is 2614
|
17 |
+
2021-11-09 17:55:15,052 INFO [decode.py:525]
|
18 |
+
For test-clean, WER of different settings are:
|
19 |
+
ngram_lm_scale_1.5_attention_scale_1.3 2.42 best for test-clean
|
20 |
+
ngram_lm_scale_1.5_attention_scale_1.5 2.42
|
21 |
+
ngram_lm_scale_1.7_attention_scale_1.7 2.42
|
22 |
+
ngram_lm_scale_1.9_attention_scale_1.9 2.42
|
23 |
+
ngram_lm_scale_1.9_attention_scale_2.0 2.42
|
24 |
+
ngram_lm_scale_2.0_attention_scale_2.0 2.42
|
25 |
+
ngram_lm_scale_2.0_attention_scale_2.1 2.42
|
26 |
+
ngram_lm_scale_1.2_attention_scale_0.9 2.43
|
27 |
+
ngram_lm_scale_1.3_attention_scale_1.0 2.43
|
28 |
+
ngram_lm_scale_1.3_attention_scale_1.1 2.43
|
29 |
+
ngram_lm_scale_1.3_attention_scale_1.2 2.43
|
30 |
+
ngram_lm_scale_1.5_attention_scale_0.9 2.43
|
31 |
+
ngram_lm_scale_1.5_attention_scale_1.0 2.43
|
32 |
+
ngram_lm_scale_1.5_attention_scale_1.1 2.43
|
33 |
+
ngram_lm_scale_1.5_attention_scale_1.2 2.43
|
34 |
+
ngram_lm_scale_1.7_attention_scale_1.3 2.43
|
35 |
+
ngram_lm_scale_1.7_attention_scale_1.5 2.43
|
36 |
+
ngram_lm_scale_1.7_attention_scale_1.9 2.43
|
37 |
+
ngram_lm_scale_1.7_attention_scale_2.0 2.43
|
38 |
+
ngram_lm_scale_1.9_attention_scale_2.1 2.43
|
39 |
+
ngram_lm_scale_1.9_attention_scale_2.2 2.43
|
40 |
+
ngram_lm_scale_1.9_attention_scale_2.3 2.43
|
41 |
+
ngram_lm_scale_2.0_attention_scale_2.2 2.43
|
42 |
+
ngram_lm_scale_2.0_attention_scale_2.3 2.43
|
43 |
+
ngram_lm_scale_2.1_attention_scale_2.1 2.43
|
44 |
+
ngram_lm_scale_2.1_attention_scale_2.2 2.43
|
45 |
+
ngram_lm_scale_2.1_attention_scale_2.3 2.43
|
46 |
+
ngram_lm_scale_2.1_attention_scale_2.5 2.43
|
47 |
+
ngram_lm_scale_2.2_attention_scale_2.3 2.43
|
48 |
+
ngram_lm_scale_2.2_attention_scale_2.5 2.43
|
49 |
+
ngram_lm_scale_1.0_attention_scale_0.6 2.44
|
50 |
+
ngram_lm_scale_1.0_attention_scale_0.7 2.44
|
51 |
+
ngram_lm_scale_1.1_attention_scale_0.7 2.44
|
52 |
+
ngram_lm_scale_1.1_attention_scale_1.1 2.44
|
53 |
+
ngram_lm_scale_1.2_attention_scale_0.6 2.44
|
54 |
+
ngram_lm_scale_1.2_attention_scale_0.7 2.44
|
55 |
+
ngram_lm_scale_1.2_attention_scale_1.0 2.44
|
56 |
+
ngram_lm_scale_1.2_attention_scale_1.1 2.44
|
57 |
+
ngram_lm_scale_1.2_attention_scale_1.2 2.44
|
58 |
+
ngram_lm_scale_1.2_attention_scale_1.3 2.44
|
59 |
+
ngram_lm_scale_1.3_attention_scale_0.7 2.44
|
60 |
+
ngram_lm_scale_1.3_attention_scale_0.9 2.44
|
61 |
+
ngram_lm_scale_1.3_attention_scale_1.3 2.44
|
62 |
+
ngram_lm_scale_1.5_attention_scale_1.7 2.44
|
63 |
+
ngram_lm_scale_1.7_attention_scale_1.1 2.44
|
64 |
+
ngram_lm_scale_1.7_attention_scale_1.2 2.44
|
65 |
+
ngram_lm_scale_1.7_attention_scale_2.1 2.44
|
66 |
+
ngram_lm_scale_1.9_attention_scale_1.5 2.44
|
67 |
+
ngram_lm_scale_1.9_attention_scale_1.7 2.44
|
68 |
+
ngram_lm_scale_2.0_attention_scale_1.9 2.44
|
69 |
+
ngram_lm_scale_2.0_attention_scale_2.5 2.44
|
70 |
+
ngram_lm_scale_2.1_attention_scale_1.9 2.44
|
71 |
+
ngram_lm_scale_2.1_attention_scale_2.0 2.44
|
72 |
+
ngram_lm_scale_2.2_attention_scale_2.0 2.44
|
73 |
+
ngram_lm_scale_2.2_attention_scale_2.1 2.44
|
74 |
+
ngram_lm_scale_2.2_attention_scale_2.2 2.44
|
75 |
+
ngram_lm_scale_2.3_attention_scale_2.1 2.44
|
76 |
+
ngram_lm_scale_2.3_attention_scale_2.2 2.44
|
77 |
+
ngram_lm_scale_2.3_attention_scale_2.3 2.44
|
78 |
+
ngram_lm_scale_2.3_attention_scale_2.5 2.44
|
79 |
+
ngram_lm_scale_2.5_attention_scale_2.3 2.44
|
80 |
+
ngram_lm_scale_2.5_attention_scale_2.5 2.44
|
81 |
+
ngram_lm_scale_2.5_attention_scale_3.0 2.44
|
82 |
+
ngram_lm_scale_1.1_attention_scale_0.9 2.45
|
83 |
+
ngram_lm_scale_1.1_attention_scale_1.2 2.45
|
84 |
+
ngram_lm_scale_1.1_attention_scale_1.3 2.45
|
85 |
+
ngram_lm_scale_1.3_attention_scale_1.5 2.45
|
86 |
+
ngram_lm_scale_1.7_attention_scale_1.0 2.45
|
87 |
+
ngram_lm_scale_1.9_attention_scale_1.3 2.45
|
88 |
+
ngram_lm_scale_2.0_attention_scale_1.5 2.45
|
89 |
+
ngram_lm_scale_2.0_attention_scale_1.7 2.45
|
90 |
+
ngram_lm_scale_2.1_attention_scale_1.7 2.45
|
91 |
+
ngram_lm_scale_2.2_attention_scale_1.9 2.45
|
92 |
+
ngram_lm_scale_2.3_attention_scale_1.9 2.45
|
93 |
+
ngram_lm_scale_2.3_attention_scale_2.0 2.45
|
94 |
+
ngram_lm_scale_2.5_attention_scale_2.2 2.45
|
95 |
+
ngram_lm_scale_0.9_attention_scale_0.5 2.46
|
96 |
+
ngram_lm_scale_0.9_attention_scale_0.6 2.46
|
97 |
+
ngram_lm_scale_0.9_attention_scale_0.7 2.46
|
98 |
+
ngram_lm_scale_1.0_attention_scale_0.5 2.46
|
99 |
+
ngram_lm_scale_1.0_attention_scale_0.9 2.46
|
100 |
+
ngram_lm_scale_1.1_attention_scale_0.5 2.46
|
101 |
+
ngram_lm_scale_1.1_attention_scale_0.6 2.46
|
102 |
+
ngram_lm_scale_1.1_attention_scale_1.0 2.46
|
103 |
+
ngram_lm_scale_1.2_attention_scale_0.5 2.46
|
104 |
+
ngram_lm_scale_1.2_attention_scale_1.5 2.46
|
105 |
+
ngram_lm_scale_1.3_attention_scale_0.6 2.46
|
106 |
+
ngram_lm_scale_1.5_attention_scale_1.9 2.46
|
107 |
+
ngram_lm_scale_1.5_attention_scale_2.0 2.46
|
108 |
+
ngram_lm_scale_1.5_attention_scale_2.1 2.46
|
109 |
+
ngram_lm_scale_1.7_attention_scale_2.2 2.46
|
110 |
+
ngram_lm_scale_1.9_attention_scale_2.5 2.46
|
111 |
+
ngram_lm_scale_2.1_attention_scale_1.5 2.46
|
112 |
+
ngram_lm_scale_2.2_attention_scale_3.0 2.46
|
113 |
+
ngram_lm_scale_2.3_attention_scale_3.0 2.46
|
114 |
+
ngram_lm_scale_3.0_attention_scale_3.0 2.46
|
115 |
+
ngram_lm_scale_0.9_attention_scale_0.9 2.47
|
116 |
+
ngram_lm_scale_1.0_attention_scale_1.0 2.47
|
117 |
+
ngram_lm_scale_1.0_attention_scale_1.1 2.47
|
118 |
+
ngram_lm_scale_1.0_attention_scale_1.2 2.47
|
119 |
+
ngram_lm_scale_1.2_attention_scale_1.7 2.47
|
120 |
+
ngram_lm_scale_1.3_attention_scale_1.7 2.47
|
121 |
+
ngram_lm_scale_1.3_attention_scale_1.9 2.47
|
122 |
+
ngram_lm_scale_1.3_attention_scale_2.0 2.47
|
123 |
+
ngram_lm_scale_1.3_attention_scale_2.3 2.47
|
124 |
+
ngram_lm_scale_1.5_attention_scale_2.2 2.47
|
125 |
+
ngram_lm_scale_1.5_attention_scale_2.3 2.47
|
126 |
+
ngram_lm_scale_1.5_attention_scale_3.0 2.47
|
127 |
+
ngram_lm_scale_1.7_attention_scale_0.9 2.47
|
128 |
+
ngram_lm_scale_1.7_attention_scale_2.3 2.47
|
129 |
+
ngram_lm_scale_1.7_attention_scale_2.5 2.47
|
130 |
+
ngram_lm_scale_1.7_attention_scale_3.0 2.47
|
131 |
+
ngram_lm_scale_1.9_attention_scale_1.2 2.47
|
132 |
+
ngram_lm_scale_1.9_attention_scale_3.0 2.47
|
133 |
+
ngram_lm_scale_1.9_attention_scale_4.0 2.47
|
134 |
+
ngram_lm_scale_2.0_attention_scale_3.0 2.47
|
135 |
+
ngram_lm_scale_2.0_attention_scale_4.0 2.47
|
136 |
+
ngram_lm_scale_2.1_attention_scale_3.0 2.47
|
137 |
+
ngram_lm_scale_2.1_attention_scale_4.0 2.47
|
138 |
+
ngram_lm_scale_2.2_attention_scale_1.7 2.47
|
139 |
+
ngram_lm_scale_2.2_attention_scale_4.0 2.47
|
140 |
+
ngram_lm_scale_2.3_attention_scale_4.0 2.47
|
141 |
+
ngram_lm_scale_2.5_attention_scale_2.1 2.47
|
142 |
+
ngram_lm_scale_2.5_attention_scale_5.0 2.47
|
143 |
+
ngram_lm_scale_3.0_attention_scale_4.0 2.47
|
144 |
+
ngram_lm_scale_3.0_attention_scale_5.0 2.47
|
145 |
+
ngram_lm_scale_4.0_attention_scale_5.0 2.47
|
146 |
+
ngram_lm_scale_0.9_attention_scale_1.0 2.48
|
147 |
+
ngram_lm_scale_0.9_attention_scale_1.1 2.48
|
148 |
+
ngram_lm_scale_1.0_attention_scale_1.3 2.48
|
149 |
+
ngram_lm_scale_1.1_attention_scale_2.1 2.48
|
150 |
+
ngram_lm_scale_1.1_attention_scale_2.2 2.48
|
151 |
+
ngram_lm_scale_1.1_attention_scale_2.3 2.48
|
152 |
+
ngram_lm_scale_1.2_attention_scale_1.9 2.48
|
153 |
+
ngram_lm_scale_1.2_attention_scale_2.0 2.48
|
154 |
+
ngram_lm_scale_1.2_attention_scale_2.1 2.48
|
155 |
+
ngram_lm_scale_1.2_attention_scale_2.5 2.48
|
156 |
+
ngram_lm_scale_1.3_attention_scale_0.5 2.48
|
157 |
+
ngram_lm_scale_1.3_attention_scale_2.1 2.48
|
158 |
+
ngram_lm_scale_1.3_attention_scale_2.2 2.48
|
159 |
+
ngram_lm_scale_1.3_attention_scale_2.5 2.48
|
160 |
+
ngram_lm_scale_1.5_attention_scale_0.7 2.48
|
161 |
+
ngram_lm_scale_1.5_attention_scale_2.5 2.48
|
162 |
+
ngram_lm_scale_1.7_attention_scale_4.0 2.48
|
163 |
+
ngram_lm_scale_2.0_attention_scale_1.3 2.48
|
164 |
+
ngram_lm_scale_2.1_attention_scale_5.0 2.48
|
165 |
+
ngram_lm_scale_2.2_attention_scale_5.0 2.48
|
166 |
+
ngram_lm_scale_2.3_attention_scale_5.0 2.48
|
167 |
+
ngram_lm_scale_2.5_attention_scale_2.0 2.48
|
168 |
+
ngram_lm_scale_2.5_attention_scale_4.0 2.48
|
169 |
+
ngram_lm_scale_0.7_attention_scale_0.3 2.49
|
170 |
+
ngram_lm_scale_0.9_attention_scale_0.3 2.49
|
171 |
+
ngram_lm_scale_0.9_attention_scale_1.2 2.49
|
172 |
+
ngram_lm_scale_0.9_attention_scale_1.7 2.49
|
173 |
+
ngram_lm_scale_1.0_attention_scale_0.3 2.49
|
174 |
+
ngram_lm_scale_1.0_attention_scale_1.5 2.49
|
175 |
+
ngram_lm_scale_1.0_attention_scale_1.7 2.49
|
176 |
+
ngram_lm_scale_1.0_attention_scale_1.9 2.49
|
177 |
+
ngram_lm_scale_1.0_attention_scale_2.0 2.49
|
178 |
+
ngram_lm_scale_1.0_attention_scale_2.1 2.49
|
179 |
+
ngram_lm_scale_1.0_attention_scale_2.2 2.49
|
180 |
+
ngram_lm_scale_1.1_attention_scale_0.3 2.49
|
181 |
+
ngram_lm_scale_1.1_attention_scale_1.5 2.49
|
182 |
+
ngram_lm_scale_1.1_attention_scale_1.7 2.49
|
183 |
+
ngram_lm_scale_1.1_attention_scale_1.9 2.49
|
184 |
+
ngram_lm_scale_1.1_attention_scale_2.0 2.49
|
185 |
+
ngram_lm_scale_1.1_attention_scale_2.5 2.49
|
186 |
+
ngram_lm_scale_1.2_attention_scale_2.2 2.49
|
187 |
+
ngram_lm_scale_1.2_attention_scale_2.3 2.49
|
188 |
+
ngram_lm_scale_1.3_attention_scale_3.0 2.49
|
189 |
+
ngram_lm_scale_1.9_attention_scale_1.1 2.49
|
190 |
+
ngram_lm_scale_2.0_attention_scale_5.0 2.49
|
191 |
+
ngram_lm_scale_2.3_attention_scale_1.7 2.49
|
192 |
+
ngram_lm_scale_0.7_attention_scale_0.5 2.5
|
193 |
+
ngram_lm_scale_0.7_attention_scale_0.6 2.5
|
194 |
+
ngram_lm_scale_0.7_attention_scale_0.7 2.5
|
195 |
+
ngram_lm_scale_0.9_attention_scale_1.3 2.5
|
196 |
+
ngram_lm_scale_0.9_attention_scale_1.5 2.5
|
197 |
+
ngram_lm_scale_0.9_attention_scale_1.9 2.5
|
198 |
+
ngram_lm_scale_1.0_attention_scale_2.3 2.5
|
199 |
+
ngram_lm_scale_1.2_attention_scale_3.0 2.5
|
200 |
+
ngram_lm_scale_1.5_attention_scale_0.6 2.5
|
201 |
+
ngram_lm_scale_1.5_attention_scale_4.0 2.5
|
202 |
+
ngram_lm_scale_1.9_attention_scale_5.0 2.5
|
203 |
+
ngram_lm_scale_2.2_attention_scale_1.5 2.5
|
204 |
+
ngram_lm_scale_0.6_attention_scale_0.3 2.51
|
205 |
+
ngram_lm_scale_0.6_attention_scale_0.6 2.51
|
206 |
+
ngram_lm_scale_0.6_attention_scale_0.7 2.51
|
207 |
+
ngram_lm_scale_0.7_attention_scale_0.9 2.51
|
208 |
+
ngram_lm_scale_0.7_attention_scale_1.0 2.51
|
209 |
+
ngram_lm_scale_0.7_attention_scale_1.1 2.51
|
210 |
+
ngram_lm_scale_0.9_attention_scale_2.0 2.51
|
211 |
+
ngram_lm_scale_1.0_attention_scale_2.5 2.51
|
212 |
+
ngram_lm_scale_1.2_attention_scale_0.3 2.51
|
213 |
+
ngram_lm_scale_1.7_attention_scale_5.0 2.51
|
214 |
+
ngram_lm_scale_2.0_attention_scale_1.2 2.51
|
215 |
+
ngram_lm_scale_2.1_attention_scale_1.3 2.51
|
216 |
+
ngram_lm_scale_2.5_attention_scale_1.9 2.51
|
217 |
+
ngram_lm_scale_4.0_attention_scale_4.0 2.51
|
218 |
+
ngram_lm_scale_0.6_attention_scale_0.5 2.52
|
219 |
+
ngram_lm_scale_0.6_attention_scale_0.9 2.52
|
220 |
+
ngram_lm_scale_0.6_attention_scale_1.0 2.52
|
221 |
+
ngram_lm_scale_0.7_attention_scale_1.2 2.52
|
222 |
+
ngram_lm_scale_0.7_attention_scale_1.3 2.52
|
223 |
+
ngram_lm_scale_0.9_attention_scale_0.08 2.52
|
224 |
+
ngram_lm_scale_0.9_attention_scale_2.1 2.52
|
225 |
+
ngram_lm_scale_1.1_attention_scale_3.0 2.52
|
226 |
+
ngram_lm_scale_1.3_attention_scale_4.0 2.52
|
227 |
+
ngram_lm_scale_1.5_attention_scale_0.5 2.52
|
228 |
+
ngram_lm_scale_1.5_attention_scale_5.0 2.52
|
229 |
+
ngram_lm_scale_0.6_attention_scale_1.1 2.53
|
230 |
+
ngram_lm_scale_0.7_attention_scale_0.08 2.53
|
231 |
+
ngram_lm_scale_0.7_attention_scale_0.1 2.53
|
232 |
+
ngram_lm_scale_0.7_attention_scale_1.5 2.53
|
233 |
+
ngram_lm_scale_0.9_attention_scale_0.1 2.53
|
234 |
+
ngram_lm_scale_0.9_attention_scale_2.2 2.53
|
235 |
+
ngram_lm_scale_0.9_attention_scale_2.3 2.53
|
236 |
+
ngram_lm_scale_1.0_attention_scale_3.0 2.53
|
237 |
+
ngram_lm_scale_1.2_attention_scale_4.0 2.53
|
238 |
+
ngram_lm_scale_1.9_attention_scale_1.0 2.53
|
239 |
+
ngram_lm_scale_2.3_attention_scale_1.5 2.53
|
240 |
+
ngram_lm_scale_3.0_attention_scale_2.5 2.53
|
241 |
+
ngram_lm_scale_0.5_attention_scale_0.3 2.54
|
242 |
+
ngram_lm_scale_0.5_attention_scale_0.5 2.54
|
243 |
+
ngram_lm_scale_0.5_attention_scale_0.6 2.54
|
244 |
+
ngram_lm_scale_0.5_attention_scale_0.7 2.54
|
245 |
+
ngram_lm_scale_0.6_attention_scale_0.1 2.54
|
246 |
+
ngram_lm_scale_0.6_attention_scale_1.2 2.54
|
247 |
+
ngram_lm_scale_0.6_attention_scale_1.3 2.54
|
248 |
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ngram_lm_scale_0.7_attention_scale_0.05 2.54
|
249 |
+
ngram_lm_scale_0.7_attention_scale_1.7 2.54
|
250 |
+
ngram_lm_scale_0.7_attention_scale_1.9 2.54
|
251 |
+
ngram_lm_scale_0.7_attention_scale_2.0 2.54
|
252 |
+
ngram_lm_scale_0.7_attention_scale_2.1 2.54
|
253 |
+
ngram_lm_scale_0.9_attention_scale_2.5 2.54
|
254 |
+
ngram_lm_scale_0.9_attention_scale_3.0 2.54
|
255 |
+
ngram_lm_scale_1.0_attention_scale_0.08 2.54
|
256 |
+
ngram_lm_scale_1.0_attention_scale_0.1 2.54
|
257 |
+
ngram_lm_scale_1.3_attention_scale_0.3 2.54
|
258 |
+
ngram_lm_scale_1.3_attention_scale_5.0 2.54
|
259 |
+
ngram_lm_scale_2.0_attention_scale_1.1 2.54
|
260 |
+
ngram_lm_scale_2.2_attention_scale_1.3 2.54
|
261 |
+
ngram_lm_scale_2.5_attention_scale_1.7 2.54
|
262 |
+
ngram_lm_scale_5.0_attention_scale_5.0 2.54
|
263 |
+
ngram_lm_scale_0.5_attention_scale_0.05 2.55
|
264 |
+
ngram_lm_scale_0.5_attention_scale_0.08 2.55
|
265 |
+
ngram_lm_scale_0.5_attention_scale_0.1 2.55
|
266 |
+
ngram_lm_scale_0.5_attention_scale_0.9 2.55
|
267 |
+
ngram_lm_scale_0.6_attention_scale_0.08 2.55
|
268 |
+
ngram_lm_scale_0.6_attention_scale_1.5 2.55
|
269 |
+
ngram_lm_scale_0.6_attention_scale_1.7 2.55
|
270 |
+
ngram_lm_scale_0.6_attention_scale_2.0 2.55
|
271 |
+
ngram_lm_scale_0.7_attention_scale_2.2 2.55
|
272 |
+
ngram_lm_scale_0.7_attention_scale_2.3 2.55
|
273 |
+
ngram_lm_scale_0.7_attention_scale_2.5 2.55
|
274 |
+
ngram_lm_scale_0.9_attention_scale_0.05 2.55
|
275 |
+
ngram_lm_scale_1.0_attention_scale_0.05 2.55
|
276 |
+
ngram_lm_scale_1.1_attention_scale_4.0 2.55
|
277 |
+
ngram_lm_scale_1.2_attention_scale_5.0 2.55
|
278 |
+
ngram_lm_scale_2.1_attention_scale_1.2 2.55
|
279 |
+
ngram_lm_scale_3.0_attention_scale_2.3 2.55
|
280 |
+
ngram_lm_scale_0.5_attention_scale_1.0 2.56
|
281 |
+
ngram_lm_scale_0.5_attention_scale_1.1 2.56
|
282 |
+
ngram_lm_scale_0.5_attention_scale_1.3 2.56
|
283 |
+
ngram_lm_scale_0.6_attention_scale_0.01 2.56
|
284 |
+
ngram_lm_scale_0.6_attention_scale_0.05 2.56
|
285 |
+
ngram_lm_scale_0.6_attention_scale_1.9 2.56
|
286 |
+
ngram_lm_scale_0.6_attention_scale_2.1 2.56
|
287 |
+
ngram_lm_scale_0.6_attention_scale_2.2 2.56
|
288 |
+
ngram_lm_scale_0.7_attention_scale_0.01 2.56
|
289 |
+
ngram_lm_scale_0.9_attention_scale_0.01 2.56
|
290 |
+
ngram_lm_scale_0.9_attention_scale_4.0 2.56
|
291 |
+
ngram_lm_scale_1.0_attention_scale_0.01 2.56
|
292 |
+
ngram_lm_scale_1.0_attention_scale_4.0 2.56
|
293 |
+
ngram_lm_scale_1.1_attention_scale_0.08 2.56
|
294 |
+
ngram_lm_scale_1.1_attention_scale_0.1 2.56
|
295 |
+
ngram_lm_scale_1.1_attention_scale_5.0 2.56
|
296 |
+
ngram_lm_scale_1.7_attention_scale_0.7 2.56
|
297 |
+
ngram_lm_scale_0.5_attention_scale_0.01 2.57
|
298 |
+
ngram_lm_scale_0.5_attention_scale_1.2 2.57
|
299 |
+
ngram_lm_scale_0.6_attention_scale_2.3 2.57
|
300 |
+
ngram_lm_scale_2.1_attention_scale_1.1 2.57
|
301 |
+
ngram_lm_scale_2.2_attention_scale_1.2 2.57
|
302 |
+
ngram_lm_scale_2.3_attention_scale_1.3 2.57
|
303 |
+
ngram_lm_scale_2.5_attention_scale_1.5 2.57
|
304 |
+
ngram_lm_scale_3.0_attention_scale_2.2 2.57
|
305 |
+
ngram_lm_scale_0.5_attention_scale_1.5 2.58
|
306 |
+
ngram_lm_scale_0.5_attention_scale_1.7 2.58
|
307 |
+
ngram_lm_scale_0.5_attention_scale_1.9 2.58
|
308 |
+
ngram_lm_scale_0.5_attention_scale_2.0 2.58
|
309 |
+
ngram_lm_scale_0.6_attention_scale_2.5 2.58
|
310 |
+
ngram_lm_scale_0.7_attention_scale_3.0 2.58
|
311 |
+
ngram_lm_scale_0.7_attention_scale_5.0 2.58
|
312 |
+
ngram_lm_scale_0.9_attention_scale_5.0 2.58
|
313 |
+
ngram_lm_scale_1.0_attention_scale_5.0 2.58
|
314 |
+
ngram_lm_scale_1.1_attention_scale_0.05 2.58
|
315 |
+
ngram_lm_scale_1.9_attention_scale_0.9 2.58
|
316 |
+
ngram_lm_scale_2.0_attention_scale_1.0 2.58
|
317 |
+
ngram_lm_scale_0.3_attention_scale_0.9 2.59
|
318 |
+
ngram_lm_scale_0.3_attention_scale_1.0 2.59
|
319 |
+
ngram_lm_scale_0.5_attention_scale_2.1 2.59
|
320 |
+
ngram_lm_scale_0.5_attention_scale_2.2 2.59
|
321 |
+
ngram_lm_scale_0.6_attention_scale_3.0 2.59
|
322 |
+
ngram_lm_scale_0.6_attention_scale_4.0 2.59
|
323 |
+
ngram_lm_scale_0.6_attention_scale_5.0 2.59
|
324 |
+
ngram_lm_scale_0.7_attention_scale_4.0 2.59
|
325 |
+
ngram_lm_scale_1.1_attention_scale_0.01 2.59
|
326 |
+
ngram_lm_scale_1.2_attention_scale_0.1 2.59
|
327 |
+
ngram_lm_scale_3.0_attention_scale_2.1 2.59
|
328 |
+
ngram_lm_scale_0.3_attention_scale_0.7 2.6
|
329 |
+
ngram_lm_scale_0.3_attention_scale_1.1 2.6
|
330 |
+
ngram_lm_scale_0.3_attention_scale_1.2 2.6
|
331 |
+
ngram_lm_scale_0.3_attention_scale_1.3 2.6
|
332 |
+
ngram_lm_scale_0.3_attention_scale_2.5 2.6
|
333 |
+
ngram_lm_scale_0.5_attention_scale_2.3 2.6
|
334 |
+
ngram_lm_scale_0.5_attention_scale_2.5 2.6
|
335 |
+
ngram_lm_scale_0.5_attention_scale_3.0 2.6
|
336 |
+
ngram_lm_scale_0.5_attention_scale_4.0 2.6
|
337 |
+
ngram_lm_scale_0.5_attention_scale_5.0 2.6
|
338 |
+
ngram_lm_scale_1.2_attention_scale_0.08 2.6
|
339 |
+
ngram_lm_scale_1.7_attention_scale_0.6 2.6
|
340 |
+
ngram_lm_scale_2.0_attention_scale_0.9 2.6
|
341 |
+
ngram_lm_scale_2.1_attention_scale_1.0 2.6
|
342 |
+
ngram_lm_scale_2.2_attention_scale_1.1 2.6
|
343 |
+
ngram_lm_scale_0.3_attention_scale_0.3 2.61
|
344 |
+
ngram_lm_scale_0.3_attention_scale_1.5 2.61
|
345 |
+
ngram_lm_scale_0.3_attention_scale_1.9 2.61
|
346 |
+
ngram_lm_scale_0.3_attention_scale_2.0 2.61
|
347 |
+
ngram_lm_scale_0.3_attention_scale_2.1 2.61
|
348 |
+
ngram_lm_scale_0.3_attention_scale_2.2 2.61
|
349 |
+
ngram_lm_scale_0.3_attention_scale_2.3 2.61
|
350 |
+
ngram_lm_scale_0.3_attention_scale_4.0 2.61
|
351 |
+
ngram_lm_scale_0.3_attention_scale_5.0 2.61
|
352 |
+
ngram_lm_scale_2.3_attention_scale_1.2 2.61
|
353 |
+
ngram_lm_scale_0.1_attention_scale_5.0 2.62
|
354 |
+
ngram_lm_scale_0.3_attention_scale_0.1 2.62
|
355 |
+
ngram_lm_scale_0.3_attention_scale_0.5 2.62
|
356 |
+
ngram_lm_scale_0.3_attention_scale_0.6 2.62
|
357 |
+
ngram_lm_scale_0.3_attention_scale_1.7 2.62
|
358 |
+
ngram_lm_scale_0.3_attention_scale_3.0 2.62
|
359 |
+
ngram_lm_scale_3.0_attention_scale_2.0 2.62
|
360 |
+
ngram_lm_scale_0.01_attention_scale_4.0 2.63
|
361 |
+
ngram_lm_scale_0.01_attention_scale_5.0 2.63
|
362 |
+
ngram_lm_scale_0.05_attention_scale_2.2 2.63
|
363 |
+
ngram_lm_scale_0.05_attention_scale_2.3 2.63
|
364 |
+
ngram_lm_scale_0.05_attention_scale_2.5 2.63
|
365 |
+
ngram_lm_scale_0.05_attention_scale_4.0 2.63
|
366 |
+
ngram_lm_scale_0.05_attention_scale_5.0 2.63
|
367 |
+
ngram_lm_scale_0.08_attention_scale_2.1 2.63
|
368 |
+
ngram_lm_scale_0.08_attention_scale_2.2 2.63
|
369 |
+
ngram_lm_scale_0.08_attention_scale_2.3 2.63
|
370 |
+
ngram_lm_scale_0.08_attention_scale_2.5 2.63
|
371 |
+
ngram_lm_scale_0.08_attention_scale_3.0 2.63
|
372 |
+
ngram_lm_scale_0.08_attention_scale_4.0 2.63
|
373 |
+
ngram_lm_scale_0.08_attention_scale_5.0 2.63
|
374 |
+
ngram_lm_scale_0.1_attention_scale_2.1 2.63
|
375 |
+
ngram_lm_scale_0.1_attention_scale_2.2 2.63
|
376 |
+
ngram_lm_scale_0.1_attention_scale_2.3 2.63
|
377 |
+
ngram_lm_scale_0.1_attention_scale_2.5 2.63
|
378 |
+
ngram_lm_scale_0.1_attention_scale_3.0 2.63
|
379 |
+
ngram_lm_scale_0.1_attention_scale_4.0 2.63
|
380 |
+
ngram_lm_scale_0.3_attention_scale_0.08 2.63
|
381 |
+
ngram_lm_scale_1.2_attention_scale_0.05 2.63
|
382 |
+
ngram_lm_scale_0.01_attention_scale_2.2 2.64
|
383 |
+
ngram_lm_scale_0.01_attention_scale_2.3 2.64
|
384 |
+
ngram_lm_scale_0.01_attention_scale_2.5 2.64
|
385 |
+
ngram_lm_scale_0.01_attention_scale_3.0 2.64
|
386 |
+
ngram_lm_scale_0.05_attention_scale_1.9 2.64
|
387 |
+
ngram_lm_scale_0.05_attention_scale_2.0 2.64
|
388 |
+
ngram_lm_scale_0.05_attention_scale_2.1 2.64
|
389 |
+
ngram_lm_scale_0.05_attention_scale_3.0 2.64
|
390 |
+
ngram_lm_scale_0.08_attention_scale_1.9 2.64
|
391 |
+
ngram_lm_scale_0.08_attention_scale_2.0 2.64
|
392 |
+
ngram_lm_scale_0.1_attention_scale_1.9 2.64
|
393 |
+
ngram_lm_scale_0.1_attention_scale_2.0 2.64
|
394 |
+
ngram_lm_scale_0.3_attention_scale_0.05 2.64
|
395 |
+
ngram_lm_scale_3.0_attention_scale_1.9 2.64
|
396 |
+
ngram_lm_scale_0.01_attention_scale_1.5 2.65
|
397 |
+
ngram_lm_scale_0.01_attention_scale_1.9 2.65
|
398 |
+
ngram_lm_scale_0.01_attention_scale_2.0 2.65
|
399 |
+
ngram_lm_scale_0.01_attention_scale_2.1 2.65
|
400 |
+
ngram_lm_scale_0.05_attention_scale_1.5 2.65
|
401 |
+
ngram_lm_scale_0.05_attention_scale_1.7 2.65
|
402 |
+
ngram_lm_scale_0.08_attention_scale_1.5 2.65
|
403 |
+
ngram_lm_scale_0.08_attention_scale_1.7 2.65
|
404 |
+
ngram_lm_scale_0.1_attention_scale_1.2 2.65
|
405 |
+
ngram_lm_scale_0.1_attention_scale_1.3 2.65
|
406 |
+
ngram_lm_scale_0.1_attention_scale_1.5 2.65
|
407 |
+
ngram_lm_scale_0.1_attention_scale_1.7 2.65
|
408 |
+
ngram_lm_scale_0.3_attention_scale_0.01 2.65
|
409 |
+
ngram_lm_scale_1.9_attention_scale_0.7 2.65
|
410 |
+
ngram_lm_scale_2.5_attention_scale_1.3 2.65
|
411 |
+
ngram_lm_scale_4.0_attention_scale_3.0 2.65
|
412 |
+
ngram_lm_scale_0.01_attention_scale_1.3 2.66
|
413 |
+
ngram_lm_scale_0.01_attention_scale_1.7 2.66
|
414 |
+
ngram_lm_scale_0.05_attention_scale_1.3 2.66
|
415 |
+
ngram_lm_scale_0.08_attention_scale_0.9 2.66
|
416 |
+
ngram_lm_scale_0.08_attention_scale_1.0 2.66
|
417 |
+
ngram_lm_scale_0.08_attention_scale_1.1 2.66
|
418 |
+
ngram_lm_scale_0.08_attention_scale_1.2 2.66
|
419 |
+
ngram_lm_scale_0.08_attention_scale_1.3 2.66
|
420 |
+
ngram_lm_scale_0.1_attention_scale_0.9 2.66
|
421 |
+
ngram_lm_scale_0.1_attention_scale_1.0 2.66
|
422 |
+
ngram_lm_scale_0.1_attention_scale_1.1 2.66
|
423 |
+
ngram_lm_scale_1.5_attention_scale_0.3 2.66
|
424 |
+
ngram_lm_scale_1.7_attention_scale_0.5 2.66
|
425 |
+
ngram_lm_scale_2.1_attention_scale_0.9 2.66
|
426 |
+
ngram_lm_scale_2.2_attention_scale_1.0 2.66
|
427 |
+
ngram_lm_scale_2.3_attention_scale_1.1 2.66
|
428 |
+
ngram_lm_scale_0.01_attention_scale_1.0 2.67
|
429 |
+
ngram_lm_scale_0.01_attention_scale_1.2 2.67
|
430 |
+
ngram_lm_scale_0.05_attention_scale_0.9 2.67
|
431 |
+
ngram_lm_scale_0.05_attention_scale_1.0 2.67
|
432 |
+
ngram_lm_scale_0.05_attention_scale_1.1 2.67
|
433 |
+
ngram_lm_scale_0.05_attention_scale_1.2 2.67
|
434 |
+
ngram_lm_scale_1.2_attention_scale_0.01 2.67
|
435 |
+
ngram_lm_scale_0.01_attention_scale_0.9 2.68
|
436 |
+
ngram_lm_scale_0.01_attention_scale_1.1 2.68
|
437 |
+
ngram_lm_scale_0.1_attention_scale_0.7 2.68
|
438 |
+
ngram_lm_scale_1.3_attention_scale_0.08 2.68
|
439 |
+
ngram_lm_scale_1.3_attention_scale_0.1 2.68
|
440 |
+
ngram_lm_scale_5.0_attention_scale_4.0 2.68
|
441 |
+
ngram_lm_scale_0.05_attention_scale_0.7 2.69
|
442 |
+
ngram_lm_scale_0.08_attention_scale_0.7 2.69
|
443 |
+
ngram_lm_scale_0.1_attention_scale_0.6 2.69
|
444 |
+
ngram_lm_scale_0.01_attention_scale_0.6 2.7
|
445 |
+
ngram_lm_scale_0.01_attention_scale_0.7 2.7
|
446 |
+
ngram_lm_scale_0.08_attention_scale_0.3 2.7
|
447 |
+
ngram_lm_scale_0.08_attention_scale_0.6 2.7
|
448 |
+
ngram_lm_scale_0.1_attention_scale_0.3 2.7
|
449 |
+
ngram_lm_scale_0.1_attention_scale_0.5 2.7
|
450 |
+
ngram_lm_scale_0.05_attention_scale_0.6 2.71
|
451 |
+
ngram_lm_scale_0.08_attention_scale_0.5 2.71
|
452 |
+
ngram_lm_scale_0.01_attention_scale_0.5 2.72
|
453 |
+
ngram_lm_scale_0.05_attention_scale_0.3 2.72
|
454 |
+
ngram_lm_scale_0.05_attention_scale_0.5 2.72
|
455 |
+
ngram_lm_scale_3.0_attention_scale_1.7 2.72
|
456 |
+
ngram_lm_scale_1.3_attention_scale_0.05 2.73
|
457 |
+
ngram_lm_scale_1.9_attention_scale_0.6 2.73
|
458 |
+
ngram_lm_scale_2.0_attention_scale_0.7 2.73
|
459 |
+
ngram_lm_scale_2.2_attention_scale_0.9 2.73
|
460 |
+
ngram_lm_scale_2.3_attention_scale_1.0 2.73
|
461 |
+
ngram_lm_scale_2.5_attention_scale_1.2 2.73
|
462 |
+
ngram_lm_scale_0.01_attention_scale_0.3 2.74
|
463 |
+
ngram_lm_scale_0.05_attention_scale_0.1 2.74
|
464 |
+
ngram_lm_scale_0.08_attention_scale_0.05 2.74
|
465 |
+
ngram_lm_scale_0.08_attention_scale_0.08 2.74
|
466 |
+
ngram_lm_scale_0.08_attention_scale_0.1 2.74
|
467 |
+
ngram_lm_scale_0.1_attention_scale_0.05 2.74
|
468 |
+
ngram_lm_scale_0.1_attention_scale_0.08 2.74
|
469 |
+
ngram_lm_scale_0.1_attention_scale_0.1 2.74
|
470 |
+
ngram_lm_scale_0.05_attention_scale_0.08 2.75
|
471 |
+
ngram_lm_scale_0.01_attention_scale_0.1 2.76
|
472 |
+
ngram_lm_scale_0.1_attention_scale_0.01 2.76
|
473 |
+
ngram_lm_scale_0.05_attention_scale_0.05 2.77
|
474 |
+
ngram_lm_scale_0.08_attention_scale_0.01 2.77
|
475 |
+
ngram_lm_scale_0.01_attention_scale_0.08 2.78
|
476 |
+
ngram_lm_scale_2.5_attention_scale_1.1 2.78
|
477 |
+
ngram_lm_scale_0.01_attention_scale_0.05 2.79
|
478 |
+
ngram_lm_scale_0.05_attention_scale_0.01 2.79
|
479 |
+
ngram_lm_scale_1.3_attention_scale_0.01 2.79
|
480 |
+
ngram_lm_scale_2.3_attention_scale_0.9 2.79
|
481 |
+
ngram_lm_scale_0.01_attention_scale_0.01 2.81
|
482 |
+
ngram_lm_scale_2.1_attention_scale_0.7 2.81
|
483 |
+
ngram_lm_scale_4.0_attention_scale_2.5 2.81
|
484 |
+
ngram_lm_scale_1.9_attention_scale_0.5 2.82
|
485 |
+
ngram_lm_scale_2.0_attention_scale_0.6 2.82
|
486 |
+
ngram_lm_scale_3.0_attention_scale_1.5 2.82
|
487 |
+
ngram_lm_scale_1.7_attention_scale_0.3 2.83
|
488 |
+
ngram_lm_scale_1.5_attention_scale_0.1 2.86
|
489 |
+
ngram_lm_scale_2.5_attention_scale_1.0 2.86
|
490 |
+
ngram_lm_scale_1.5_attention_scale_0.08 2.89
|
491 |
+
ngram_lm_scale_2.1_attention_scale_0.6 2.9
|
492 |
+
ngram_lm_scale_2.2_attention_scale_0.7 2.9
|
493 |
+
ngram_lm_scale_2.0_attention_scale_0.5 2.91
|
494 |
+
ngram_lm_scale_4.0_attention_scale_2.3 2.92
|
495 |
+
ngram_lm_scale_1.5_attention_scale_0.05 2.93
|
496 |
+
ngram_lm_scale_2.5_attention_scale_0.9 2.94
|
497 |
+
ngram_lm_scale_4.0_attention_scale_2.2 2.95
|
498 |
+
ngram_lm_scale_3.0_attention_scale_1.3 2.97
|
499 |
+
ngram_lm_scale_1.5_attention_scale_0.01 2.98
|
500 |
+
ngram_lm_scale_2.3_attention_scale_0.7 2.98
|
501 |
+
ngram_lm_scale_2.2_attention_scale_0.6 3.0
|
502 |
+
ngram_lm_scale_4.0_attention_scale_2.1 3.0
|
503 |
+
ngram_lm_scale_5.0_attention_scale_3.0 3.0
|
504 |
+
ngram_lm_scale_3.0_attention_scale_1.2 3.02
|
505 |
+
ngram_lm_scale_2.1_attention_scale_0.5 3.03
|
506 |
+
ngram_lm_scale_1.9_attention_scale_0.3 3.06
|
507 |
+
ngram_lm_scale_2.3_attention_scale_0.6 3.07
|
508 |
+
ngram_lm_scale_4.0_attention_scale_2.0 3.07
|
509 |
+
ngram_lm_scale_2.2_attention_scale_0.5 3.09
|
510 |
+
ngram_lm_scale_1.7_attention_scale_0.1 3.12
|
511 |
+
ngram_lm_scale_2.5_attention_scale_0.7 3.12
|
512 |
+
ngram_lm_scale_3.0_attention_scale_1.1 3.12
|
513 |
+
ngram_lm_scale_4.0_attention_scale_1.9 3.13
|
514 |
+
ngram_lm_scale_1.7_attention_scale_0.08 3.15
|
515 |
+
ngram_lm_scale_2.0_attention_scale_0.3 3.17
|
516 |
+
ngram_lm_scale_2.3_attention_scale_0.5 3.18
|
517 |
+
ngram_lm_scale_1.7_attention_scale_0.05 3.19
|
518 |
+
ngram_lm_scale_3.0_attention_scale_1.0 3.22
|
519 |
+
ngram_lm_scale_2.5_attention_scale_0.6 3.23
|
520 |
+
ngram_lm_scale_1.7_attention_scale_0.01 3.24
|
521 |
+
ngram_lm_scale_5.0_attention_scale_2.5 3.25
|
522 |
+
ngram_lm_scale_2.1_attention_scale_0.3 3.26
|
523 |
+
ngram_lm_scale_4.0_attention_scale_1.7 3.27
|
524 |
+
ngram_lm_scale_3.0_attention_scale_0.9 3.31
|
525 |
+
ngram_lm_scale_1.9_attention_scale_0.1 3.32
|
526 |
+
ngram_lm_scale_2.5_attention_scale_0.5 3.34
|
527 |
+
ngram_lm_scale_2.2_attention_scale_0.3 3.35
|
528 |
+
ngram_lm_scale_5.0_attention_scale_2.3 3.35
|
529 |
+
ngram_lm_scale_1.9_attention_scale_0.08 3.36
|
530 |
+
ngram_lm_scale_1.9_attention_scale_0.05 3.41
|
531 |
+
ngram_lm_scale_4.0_attention_scale_1.5 3.42
|
532 |
+
ngram_lm_scale_5.0_attention_scale_2.2 3.42
|
533 |
+
ngram_lm_scale_2.0_attention_scale_0.1 3.44
|
534 |
+
ngram_lm_scale_2.3_attention_scale_0.3 3.44
|
535 |
+
ngram_lm_scale_1.9_attention_scale_0.01 3.47
|
536 |
+
ngram_lm_scale_2.0_attention_scale_0.08 3.48
|
537 |
+
ngram_lm_scale_5.0_attention_scale_2.1 3.48
|
538 |
+
ngram_lm_scale_2.0_attention_scale_0.05 3.51
|
539 |
+
ngram_lm_scale_3.0_attention_scale_0.7 3.51
|
540 |
+
ngram_lm_scale_5.0_attention_scale_2.0 3.52
|
541 |
+
ngram_lm_scale_2.1_attention_scale_0.1 3.55
|
542 |
+
ngram_lm_scale_4.0_attention_scale_1.3 3.55
|
543 |
+
ngram_lm_scale_2.0_attention_scale_0.01 3.59
|
544 |
+
ngram_lm_scale_2.1_attention_scale_0.08 3.59
|
545 |
+
ngram_lm_scale_5.0_attention_scale_1.9 3.59
|
546 |
+
ngram_lm_scale_2.5_attention_scale_0.3 3.61
|
547 |
+
ngram_lm_scale_3.0_attention_scale_0.6 3.62
|
548 |
+
ngram_lm_scale_2.1_attention_scale_0.05 3.63
|
549 |
+
ngram_lm_scale_2.2_attention_scale_0.1 3.63
|
550 |
+
ngram_lm_scale_4.0_attention_scale_1.2 3.64
|
551 |
+
ngram_lm_scale_2.2_attention_scale_0.08 3.67
|
552 |
+
ngram_lm_scale_4.0_attention_scale_1.1 3.68
|
553 |
+
ngram_lm_scale_2.1_attention_scale_0.01 3.69
|
554 |
+
ngram_lm_scale_3.0_attention_scale_0.5 3.71
|
555 |
+
ngram_lm_scale_5.0_attention_scale_1.7 3.71
|
556 |
+
ngram_lm_scale_2.2_attention_scale_0.05 3.72
|
557 |
+
ngram_lm_scale_2.3_attention_scale_0.1 3.75
|
558 |
+
ngram_lm_scale_2.3_attention_scale_0.08 3.76
|
559 |
+
ngram_lm_scale_2.2_attention_scale_0.01 3.78
|
560 |
+
ngram_lm_scale_4.0_attention_scale_1.0 3.78
|
561 |
+
ngram_lm_scale_2.3_attention_scale_0.05 3.8
|
562 |
+
ngram_lm_scale_5.0_attention_scale_1.5 3.84
|
563 |
+
ngram_lm_scale_4.0_attention_scale_0.9 3.88
|
564 |
+
ngram_lm_scale_2.3_attention_scale_0.01 3.89
|
565 |
+
ngram_lm_scale_2.5_attention_scale_0.1 3.91
|
566 |
+
ngram_lm_scale_2.5_attention_scale_0.08 3.94
|
567 |
+
ngram_lm_scale_2.5_attention_scale_0.05 3.98
|
568 |
+
ngram_lm_scale_3.0_attention_scale_0.3 4.0
|
569 |
+
ngram_lm_scale_5.0_attention_scale_1.3 4.01
|
570 |
+
ngram_lm_scale_2.5_attention_scale_0.01 4.05
|
571 |
+
ngram_lm_scale_5.0_attention_scale_1.2 4.08
|
572 |
+
ngram_lm_scale_4.0_attention_scale_0.7 4.1
|
573 |
+
ngram_lm_scale_5.0_attention_scale_1.1 4.14
|
574 |
+
ngram_lm_scale_4.0_attention_scale_0.6 4.18
|
575 |
+
ngram_lm_scale_5.0_attention_scale_1.0 4.21
|
576 |
+
ngram_lm_scale_3.0_attention_scale_0.1 4.26
|
577 |
+
ngram_lm_scale_5.0_attention_scale_0.9 4.27
|
578 |
+
ngram_lm_scale_3.0_attention_scale_0.08 4.28
|
579 |
+
ngram_lm_scale_4.0_attention_scale_0.5 4.28
|
580 |
+
ngram_lm_scale_3.0_attention_scale_0.05 4.3
|
581 |
+
ngram_lm_scale_3.0_attention_scale_0.01 4.34
|
582 |
+
ngram_lm_scale_5.0_attention_scale_0.7 4.44
|
583 |
+
ngram_lm_scale_4.0_attention_scale_0.3 4.45
|
584 |
+
ngram_lm_scale_5.0_attention_scale_0.6 4.5
|
585 |
+
ngram_lm_scale_5.0_attention_scale_0.5 4.56
|
586 |
+
ngram_lm_scale_4.0_attention_scale_0.1 4.61
|
587 |
+
ngram_lm_scale_4.0_attention_scale_0.08 4.62
|
588 |
+
ngram_lm_scale_4.0_attention_scale_0.05 4.65
|
589 |
+
ngram_lm_scale_4.0_attention_scale_0.01 4.71
|
590 |
+
ngram_lm_scale_5.0_attention_scale_0.3 4.71
|
591 |
+
ngram_lm_scale_5.0_attention_scale_0.1 4.84
|
592 |
+
ngram_lm_scale_5.0_attention_scale_0.08 4.86
|
593 |
+
ngram_lm_scale_5.0_attention_scale_0.05 4.87
|
594 |
+
ngram_lm_scale_5.0_attention_scale_0.01 4.9
|
595 |
+
|
596 |
+
2021-11-09 17:55:16,263 INFO [decode.py:476] batch 0/?, cuts processed until now is 6
|
597 |
+
2021-11-09 17:56:58,045 INFO [decode.py:476] batch 100/?, cuts processed until now is 434
|
598 |
+
2021-11-09 17:58:29,358 INFO [decode.py:476] batch 200/?, cuts processed until now is 885
|
599 |
+
2021-11-09 18:00:01,752 INFO [decode.py:476] batch 300/?, cuts processed until now is 1327
|
600 |
+
2021-11-09 18:01:37,944 INFO [decode.py:476] batch 400/?, cuts processed until now is 1807
|
601 |
+
2021-11-09 18:03:17,784 INFO [decode.py:476] batch 500/?, cuts processed until now is 2238
|
602 |
+
2021-11-09 18:04:44,506 INFO [decode.py:476] batch 600/?, cuts processed until now is 2584
|
603 |
+
2021-11-09 18:06:26,405 INFO [decode.py:476] batch 700/?, cuts processed until now is 2785
|
604 |
+
2021-11-09 18:11:34,377 INFO [decode.py:525]
|
605 |
+
For test-other, WER of different settings are:
|
606 |
+
ngram_lm_scale_2.0_attention_scale_2.0 5.73 best for test-other
|
607 |
+
ngram_lm_scale_2.1_attention_scale_2.2 5.73
|
608 |
+
ngram_lm_scale_2.2_attention_scale_2.3 5.73
|
609 |
+
ngram_lm_scale_2.2_attention_scale_2.5 5.73
|
610 |
+
ngram_lm_scale_2.3_attention_scale_2.5 5.73
|
611 |
+
ngram_lm_scale_1.5_attention_scale_1.3 5.74
|
612 |
+
ngram_lm_scale_1.5_attention_scale_1.5 5.74
|
613 |
+
ngram_lm_scale_2.0_attention_scale_2.1 5.74
|
614 |
+
ngram_lm_scale_2.1_attention_scale_2.1 5.74
|
615 |
+
ngram_lm_scale_2.1_attention_scale_2.3 5.74
|
616 |
+
ngram_lm_scale_2.5_attention_scale_3.0 5.74
|
617 |
+
ngram_lm_scale_3.0_attention_scale_4.0 5.74
|
618 |
+
ngram_lm_scale_1.3_attention_scale_1.0 5.75
|
619 |
+
ngram_lm_scale_1.3_attention_scale_1.1 5.75
|
620 |
+
ngram_lm_scale_1.7_attention_scale_1.7 5.75
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782 |
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794 |
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796 |
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807 |
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812 |
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813 |
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814 |
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816 |
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818 |
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820 |
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830 |
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833 |
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838 |
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840 |
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841 |
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842 |
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843 |
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846 |
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850 |
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851 |
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852 |
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853 |
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854 |
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855 |
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856 |
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857 |
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858 |
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859 |
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860 |
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861 |
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862 |
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863 |
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864 |
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865 |
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ngram_lm_scale_0.6_attention_scale_2.0 6.01
|
866 |
+
ngram_lm_scale_0.7_attention_scale_3.0 6.01
|
867 |
+
ngram_lm_scale_0.9_attention_scale_5.0 6.01
|
868 |
+
ngram_lm_scale_1.0_attention_scale_5.0 6.01
|
869 |
+
ngram_lm_scale_2.2_attention_scale_1.2 6.01
|
870 |
+
ngram_lm_scale_2.3_attention_scale_1.3 6.01
|
871 |
+
ngram_lm_scale_3.0_attention_scale_2.2 6.01
|
872 |
+
ngram_lm_scale_0.5_attention_scale_1.2 6.02
|
873 |
+
ngram_lm_scale_0.5_attention_scale_1.3 6.02
|
874 |
+
ngram_lm_scale_0.6_attention_scale_2.1 6.02
|
875 |
+
ngram_lm_scale_0.6_attention_scale_2.2 6.02
|
876 |
+
ngram_lm_scale_0.6_attention_scale_2.3 6.02
|
877 |
+
ngram_lm_scale_1.5_attention_scale_0.5 6.02
|
878 |
+
ngram_lm_scale_0.5_attention_scale_1.5 6.03
|
879 |
+
ngram_lm_scale_0.6_attention_scale_2.5 6.03
|
880 |
+
ngram_lm_scale_0.9_attention_scale_0.05 6.03
|
881 |
+
ngram_lm_scale_2.5_attention_scale_1.5 6.03
|
882 |
+
ngram_lm_scale_0.5_attention_scale_1.7 6.04
|
883 |
+
ngram_lm_scale_0.5_attention_scale_1.9 6.04
|
884 |
+
ngram_lm_scale_0.5_attention_scale_2.0 6.04
|
885 |
+
ngram_lm_scale_0.6_attention_scale_3.0 6.04
|
886 |
+
ngram_lm_scale_0.7_attention_scale_0.01 6.04
|
887 |
+
ngram_lm_scale_0.5_attention_scale_2.1 6.05
|
888 |
+
ngram_lm_scale_0.5_attention_scale_2.5 6.05
|
889 |
+
ngram_lm_scale_0.6_attention_scale_0.08 6.05
|
890 |
+
ngram_lm_scale_0.6_attention_scale_0.1 6.05
|
891 |
+
ngram_lm_scale_1.0_attention_scale_0.1 6.05
|
892 |
+
ngram_lm_scale_1.7_attention_scale_0.6 6.05
|
893 |
+
ngram_lm_scale_0.5_attention_scale_2.2 6.06
|
894 |
+
ngram_lm_scale_0.5_attention_scale_2.3 6.06
|
895 |
+
ngram_lm_scale_0.6_attention_scale_0.05 6.06
|
896 |
+
ngram_lm_scale_0.7_attention_scale_4.0 6.06
|
897 |
+
ngram_lm_scale_1.3_attention_scale_0.3 6.06
|
898 |
+
ngram_lm_scale_2.0_attention_scale_0.9 6.06
|
899 |
+
ngram_lm_scale_3.0_attention_scale_2.1 6.06
|
900 |
+
ngram_lm_scale_0.5_attention_scale_3.0 6.07
|
901 |
+
ngram_lm_scale_0.6_attention_scale_4.0 6.07
|
902 |
+
ngram_lm_scale_0.7_attention_scale_5.0 6.07
|
903 |
+
ngram_lm_scale_1.0_attention_scale_0.08 6.07
|
904 |
+
ngram_lm_scale_2.1_attention_scale_1.0 6.07
|
905 |
+
ngram_lm_scale_0.5_attention_scale_0.08 6.08
|
906 |
+
ngram_lm_scale_0.5_attention_scale_4.0 6.08
|
907 |
+
ngram_lm_scale_0.9_attention_scale_0.01 6.08
|
908 |
+
ngram_lm_scale_1.0_attention_scale_0.05 6.08
|
909 |
+
ngram_lm_scale_2.2_attention_scale_1.1 6.08
|
910 |
+
ngram_lm_scale_2.3_attention_scale_1.2 6.08
|
911 |
+
ngram_lm_scale_0.5_attention_scale_0.1 6.09
|
912 |
+
ngram_lm_scale_0.6_attention_scale_0.01 6.09
|
913 |
+
ngram_lm_scale_3.0_attention_scale_2.0 6.09
|
914 |
+
ngram_lm_scale_0.6_attention_scale_5.0 6.1
|
915 |
+
ngram_lm_scale_1.1_attention_scale_0.1 6.1
|
916 |
+
ngram_lm_scale_0.3_attention_scale_2.3 6.11
|
917 |
+
ngram_lm_scale_0.3_attention_scale_2.5 6.11
|
918 |
+
ngram_lm_scale_0.5_attention_scale_0.05 6.11
|
919 |
+
ngram_lm_scale_3.0_attention_scale_1.9 6.11
|
920 |
+
ngram_lm_scale_0.3_attention_scale_1.0 6.12
|
921 |
+
ngram_lm_scale_0.3_attention_scale_1.1 6.12
|
922 |
+
ngram_lm_scale_0.3_attention_scale_1.2 6.12
|
923 |
+
ngram_lm_scale_0.3_attention_scale_1.3 6.12
|
924 |
+
ngram_lm_scale_0.3_attention_scale_2.2 6.12
|
925 |
+
ngram_lm_scale_0.3_attention_scale_3.0 6.12
|
926 |
+
ngram_lm_scale_0.5_attention_scale_5.0 6.12
|
927 |
+
ngram_lm_scale_1.1_attention_scale_0.08 6.12
|
928 |
+
ngram_lm_scale_0.3_attention_scale_0.7 6.13
|
929 |
+
ngram_lm_scale_0.3_attention_scale_0.9 6.13
|
930 |
+
ngram_lm_scale_0.3_attention_scale_1.5 6.13
|
931 |
+
ngram_lm_scale_0.3_attention_scale_2.1 6.13
|
932 |
+
ngram_lm_scale_1.0_attention_scale_0.01 6.13
|
933 |
+
ngram_lm_scale_0.3_attention_scale_0.5 6.14
|
934 |
+
ngram_lm_scale_0.3_attention_scale_0.6 6.14
|
935 |
+
ngram_lm_scale_0.3_attention_scale_1.7 6.14
|
936 |
+
ngram_lm_scale_0.3_attention_scale_1.9 6.14
|
937 |
+
ngram_lm_scale_0.3_attention_scale_2.0 6.14
|
938 |
+
ngram_lm_scale_0.3_attention_scale_4.0 6.14
|
939 |
+
ngram_lm_scale_0.5_attention_scale_0.01 6.14
|
940 |
+
ngram_lm_scale_0.3_attention_scale_0.3 6.15
|
941 |
+
ngram_lm_scale_1.1_attention_scale_0.05 6.15
|
942 |
+
ngram_lm_scale_4.0_attention_scale_3.0 6.15
|
943 |
+
ngram_lm_scale_2.2_attention_scale_1.0 6.16
|
944 |
+
ngram_lm_scale_2.3_attention_scale_1.1 6.16
|
945 |
+
ngram_lm_scale_0.08_attention_scale_4.0 6.17
|
946 |
+
ngram_lm_scale_0.1_attention_scale_4.0 6.17
|
947 |
+
ngram_lm_scale_0.3_attention_scale_5.0 6.17
|
948 |
+
ngram_lm_scale_1.2_attention_scale_0.1 6.17
|
949 |
+
ngram_lm_scale_1.9_attention_scale_0.7 6.17
|
950 |
+
ngram_lm_scale_2.1_attention_scale_0.9 6.17
|
951 |
+
ngram_lm_scale_2.5_attention_scale_1.3 6.17
|
952 |
+
ngram_lm_scale_5.0_attention_scale_4.0 6.17
|
953 |
+
ngram_lm_scale_0.05_attention_scale_4.0 6.18
|
954 |
+
ngram_lm_scale_0.05_attention_scale_5.0 6.18
|
955 |
+
ngram_lm_scale_0.1_attention_scale_3.0 6.18
|
956 |
+
ngram_lm_scale_0.1_attention_scale_5.0 6.18
|
957 |
+
ngram_lm_scale_1.1_attention_scale_0.01 6.18
|
958 |
+
ngram_lm_scale_1.2_attention_scale_0.08 6.18
|
959 |
+
ngram_lm_scale_0.01_attention_scale_4.0 6.19
|
960 |
+
ngram_lm_scale_0.01_attention_scale_5.0 6.19
|
961 |
+
ngram_lm_scale_0.05_attention_scale_3.0 6.19
|
962 |
+
ngram_lm_scale_0.08_attention_scale_3.0 6.19
|
963 |
+
ngram_lm_scale_0.08_attention_scale_5.0 6.19
|
964 |
+
ngram_lm_scale_0.1_attention_scale_2.2 6.19
|
965 |
+
ngram_lm_scale_0.08_attention_scale_2.2 6.2
|
966 |
+
ngram_lm_scale_0.08_attention_scale_2.3 6.2
|
967 |
+
ngram_lm_scale_0.08_attention_scale_2.5 6.2
|
968 |
+
ngram_lm_scale_0.1_attention_scale_2.0 6.2
|
969 |
+
ngram_lm_scale_0.1_attention_scale_2.1 6.2
|
970 |
+
ngram_lm_scale_0.1_attention_scale_2.3 6.2
|
971 |
+
ngram_lm_scale_0.1_attention_scale_2.5 6.2
|
972 |
+
ngram_lm_scale_1.7_attention_scale_0.5 6.2
|
973 |
+
ngram_lm_scale_0.01_attention_scale_3.0 6.21
|
974 |
+
ngram_lm_scale_0.05_attention_scale_1.9 6.21
|
975 |
+
ngram_lm_scale_0.05_attention_scale_2.0 6.21
|
976 |
+
ngram_lm_scale_0.05_attention_scale_2.2 6.21
|
977 |
+
ngram_lm_scale_0.05_attention_scale_2.3 6.21
|
978 |
+
ngram_lm_scale_0.05_attention_scale_2.5 6.21
|
979 |
+
ngram_lm_scale_0.08_attention_scale_1.9 6.21
|
980 |
+
ngram_lm_scale_0.08_attention_scale_2.0 6.21
|
981 |
+
ngram_lm_scale_0.08_attention_scale_2.1 6.21
|
982 |
+
ngram_lm_scale_0.1_attention_scale_1.3 6.21
|
983 |
+
ngram_lm_scale_0.1_attention_scale_1.5 6.21
|
984 |
+
ngram_lm_scale_0.1_attention_scale_1.7 6.21
|
985 |
+
ngram_lm_scale_0.1_attention_scale_1.9 6.21
|
986 |
+
ngram_lm_scale_1.2_attention_scale_0.05 6.21
|
987 |
+
ngram_lm_scale_0.01_attention_scale_2.2 6.22
|
988 |
+
ngram_lm_scale_0.05_attention_scale_2.1 6.22
|
989 |
+
ngram_lm_scale_0.08_attention_scale_1.5 6.22
|
990 |
+
ngram_lm_scale_0.08_attention_scale_1.7 6.22
|
991 |
+
ngram_lm_scale_0.3_attention_scale_0.08 6.22
|
992 |
+
ngram_lm_scale_0.01_attention_scale_1.9 6.23
|
993 |
+
ngram_lm_scale_0.01_attention_scale_2.0 6.23
|
994 |
+
ngram_lm_scale_0.01_attention_scale_2.1 6.23
|
995 |
+
ngram_lm_scale_0.01_attention_scale_2.3 6.23
|
996 |
+
ngram_lm_scale_0.01_attention_scale_2.5 6.23
|
997 |
+
ngram_lm_scale_0.05_attention_scale_1.5 6.23
|
998 |
+
ngram_lm_scale_0.05_attention_scale_1.7 6.23
|
999 |
+
ngram_lm_scale_0.08_attention_scale_1.2 6.23
|
1000 |
+
ngram_lm_scale_0.08_attention_scale_1.3 6.23
|
1001 |
+
ngram_lm_scale_0.1_attention_scale_1.2 6.23
|
1002 |
+
ngram_lm_scale_0.3_attention_scale_0.1 6.23
|
1003 |
+
ngram_lm_scale_1.5_attention_scale_0.3 6.23
|
1004 |
+
ngram_lm_scale_0.01_attention_scale_1.7 6.24
|
1005 |
+
ngram_lm_scale_0.08_attention_scale_1.1 6.24
|
1006 |
+
ngram_lm_scale_0.1_attention_scale_1.0 6.24
|
1007 |
+
ngram_lm_scale_0.1_attention_scale_1.1 6.24
|
1008 |
+
ngram_lm_scale_0.3_attention_scale_0.05 6.24
|
1009 |
+
ngram_lm_scale_0.01_attention_scale_1.5 6.25
|
1010 |
+
ngram_lm_scale_0.05_attention_scale_1.3 6.25
|
1011 |
+
ngram_lm_scale_0.08_attention_scale_1.0 6.25
|
1012 |
+
ngram_lm_scale_0.1_attention_scale_0.9 6.25
|
1013 |
+
ngram_lm_scale_2.3_attention_scale_1.0 6.25
|
1014 |
+
ngram_lm_scale_2.5_attention_scale_1.2 6.25
|
1015 |
+
ngram_lm_scale_0.05_attention_scale_1.2 6.26
|
1016 |
+
ngram_lm_scale_0.08_attention_scale_0.9 6.26
|
1017 |
+
ngram_lm_scale_0.1_attention_scale_0.7 6.26
|
1018 |
+
ngram_lm_scale_1.3_attention_scale_0.1 6.26
|
1019 |
+
ngram_lm_scale_2.2_attention_scale_0.9 6.26
|
1020 |
+
ngram_lm_scale_0.01_attention_scale_1.2 6.27
|
1021 |
+
ngram_lm_scale_0.01_attention_scale_1.3 6.27
|
1022 |
+
ngram_lm_scale_0.05_attention_scale_1.0 6.27
|
1023 |
+
ngram_lm_scale_0.05_attention_scale_1.1 6.27
|
1024 |
+
ngram_lm_scale_0.1_attention_scale_0.5 6.27
|
1025 |
+
ngram_lm_scale_0.1_attention_scale_0.6 6.27
|
1026 |
+
ngram_lm_scale_3.0_attention_scale_1.7 6.27
|
1027 |
+
ngram_lm_scale_0.01_attention_scale_1.1 6.28
|
1028 |
+
ngram_lm_scale_0.05_attention_scale_0.9 6.28
|
1029 |
+
ngram_lm_scale_0.08_attention_scale_0.6 6.28
|
1030 |
+
ngram_lm_scale_0.08_attention_scale_0.7 6.28
|
1031 |
+
ngram_lm_scale_0.3_attention_scale_0.01 6.28
|
1032 |
+
ngram_lm_scale_1.2_attention_scale_0.01 6.28
|
1033 |
+
ngram_lm_scale_1.9_attention_scale_0.6 6.28
|
1034 |
+
ngram_lm_scale_2.0_attention_scale_0.7 6.28
|
1035 |
+
ngram_lm_scale_0.05_attention_scale_0.7 6.29
|
1036 |
+
ngram_lm_scale_0.08_attention_scale_0.5 6.29
|
1037 |
+
ngram_lm_scale_0.01_attention_scale_1.0 6.3
|
1038 |
+
ngram_lm_scale_0.05_attention_scale_0.6 6.3
|
1039 |
+
ngram_lm_scale_1.3_attention_scale_0.08 6.3
|
1040 |
+
ngram_lm_scale_0.05_attention_scale_0.5 6.31
|
1041 |
+
ngram_lm_scale_0.1_attention_scale_0.3 6.31
|
1042 |
+
ngram_lm_scale_0.01_attention_scale_0.6 6.32
|
1043 |
+
ngram_lm_scale_0.01_attention_scale_0.7 6.32
|
1044 |
+
ngram_lm_scale_0.01_attention_scale_0.9 6.32
|
1045 |
+
ngram_lm_scale_0.01_attention_scale_0.5 6.33
|
1046 |
+
ngram_lm_scale_0.08_attention_scale_0.3 6.34
|
1047 |
+
ngram_lm_scale_2.5_attention_scale_1.1 6.34
|
1048 |
+
ngram_lm_scale_1.3_attention_scale_0.05 6.36
|
1049 |
+
ngram_lm_scale_2.3_attention_scale_0.9 6.36
|
1050 |
+
ngram_lm_scale_0.05_attention_scale_0.3 6.37
|
1051 |
+
ngram_lm_scale_0.01_attention_scale_0.3 6.4
|
1052 |
+
ngram_lm_scale_2.0_attention_scale_0.6 6.4
|
1053 |
+
ngram_lm_scale_2.1_attention_scale_0.7 6.4
|
1054 |
+
ngram_lm_scale_4.0_attention_scale_2.5 6.4
|
1055 |
+
ngram_lm_scale_1.9_attention_scale_0.5 6.43
|
1056 |
+
ngram_lm_scale_3.0_attention_scale_1.5 6.43
|
1057 |
+
ngram_lm_scale_1.3_attention_scale_0.01 6.44
|
1058 |
+
ngram_lm_scale_0.1_attention_scale_0.1 6.45
|
1059 |
+
ngram_lm_scale_0.08_attention_scale_0.1 6.46
|
1060 |
+
ngram_lm_scale_0.1_attention_scale_0.08 6.47
|
1061 |
+
ngram_lm_scale_1.7_attention_scale_0.3 6.47
|
1062 |
+
ngram_lm_scale_2.5_attention_scale_1.0 6.47
|
1063 |
+
ngram_lm_scale_0.08_attention_scale_0.08 6.48
|
1064 |
+
ngram_lm_scale_0.1_attention_scale_0.05 6.49
|
1065 |
+
ngram_lm_scale_0.05_attention_scale_0.1 6.5
|
1066 |
+
ngram_lm_scale_0.05_attention_scale_0.08 6.51
|
1067 |
+
ngram_lm_scale_0.08_attention_scale_0.05 6.51
|
1068 |
+
ngram_lm_scale_0.1_attention_scale_0.01 6.52
|
1069 |
+
ngram_lm_scale_2.2_attention_scale_0.7 6.53
|
1070 |
+
ngram_lm_scale_4.0_attention_scale_2.3 6.53
|
1071 |
+
ngram_lm_scale_0.05_attention_scale_0.05 6.54
|
1072 |
+
ngram_lm_scale_0.08_attention_scale_0.01 6.54
|
1073 |
+
ngram_lm_scale_2.1_attention_scale_0.6 6.54
|
1074 |
+
ngram_lm_scale_0.01_attention_scale_0.1 6.55
|
1075 |
+
ngram_lm_scale_2.0_attention_scale_0.5 6.56
|
1076 |
+
ngram_lm_scale_4.0_attention_scale_2.2 6.57
|
1077 |
+
ngram_lm_scale_0.05_attention_scale_0.01 6.58
|
1078 |
+
ngram_lm_scale_1.5_attention_scale_0.1 6.58
|
1079 |
+
ngram_lm_scale_0.01_attention_scale_0.08 6.59
|
1080 |
+
ngram_lm_scale_2.5_attention_scale_0.9 6.59
|
1081 |
+
ngram_lm_scale_5.0_attention_scale_3.0 6.59
|
1082 |
+
ngram_lm_scale_0.01_attention_scale_0.05 6.61
|
1083 |
+
ngram_lm_scale_2.3_attention_scale_0.7 6.61
|
1084 |
+
ngram_lm_scale_3.0_attention_scale_1.3 6.61
|
1085 |
+
ngram_lm_scale_1.5_attention_scale_0.08 6.62
|
1086 |
+
ngram_lm_scale_2.1_attention_scale_0.5 6.63
|
1087 |
+
ngram_lm_scale_2.2_attention_scale_0.6 6.64
|
1088 |
+
ngram_lm_scale_4.0_attention_scale_2.1 6.64
|
1089 |
+
ngram_lm_scale_0.01_attention_scale_0.01 6.65
|
1090 |
+
ngram_lm_scale_1.5_attention_scale_0.05 6.69
|
1091 |
+
ngram_lm_scale_3.0_attention_scale_1.2 6.7
|
1092 |
+
ngram_lm_scale_4.0_attention_scale_2.0 6.71
|
1093 |
+
ngram_lm_scale_2.3_attention_scale_0.6 6.72
|
1094 |
+
ngram_lm_scale_1.9_attention_scale_0.3 6.73
|
1095 |
+
ngram_lm_scale_2.2_attention_scale_0.5 6.76
|
1096 |
+
ngram_lm_scale_1.5_attention_scale_0.01 6.77
|
1097 |
+
ngram_lm_scale_2.5_attention_scale_0.7 6.8
|
1098 |
+
ngram_lm_scale_3.0_attention_scale_1.1 6.8
|
1099 |
+
ngram_lm_scale_4.0_attention_scale_1.9 6.81
|
1100 |
+
ngram_lm_scale_1.7_attention_scale_0.1 6.86
|
1101 |
+
ngram_lm_scale_2.0_attention_scale_0.3 6.86
|
1102 |
+
ngram_lm_scale_1.7_attention_scale_0.08 6.89
|
1103 |
+
ngram_lm_scale_2.3_attention_scale_0.5 6.89
|
1104 |
+
ngram_lm_scale_3.0_attention_scale_1.0 6.91
|
1105 |
+
ngram_lm_scale_5.0_attention_scale_2.5 6.92
|
1106 |
+
ngram_lm_scale_1.7_attention_scale_0.05 6.94
|
1107 |
+
ngram_lm_scale_2.5_attention_scale_0.6 6.94
|
1108 |
+
ngram_lm_scale_2.1_attention_scale_0.3 6.98
|
1109 |
+
ngram_lm_scale_4.0_attention_scale_1.7 6.99
|
1110 |
+
ngram_lm_scale_1.7_attention_scale_0.01 7.04
|
1111 |
+
ngram_lm_scale_3.0_attention_scale_0.9 7.06
|
1112 |
+
ngram_lm_scale_2.5_attention_scale_0.5 7.1
|
1113 |
+
ngram_lm_scale_5.0_attention_scale_2.3 7.1
|
1114 |
+
ngram_lm_scale_2.2_attention_scale_0.3 7.13
|
1115 |
+
ngram_lm_scale_1.9_attention_scale_0.1 7.15
|
1116 |
+
ngram_lm_scale_5.0_attention_scale_2.2 7.17
|
1117 |
+
ngram_lm_scale_4.0_attention_scale_1.5 7.2
|
1118 |
+
ngram_lm_scale_1.9_attention_scale_0.08 7.22
|
1119 |
+
ngram_lm_scale_5.0_attention_scale_2.1 7.24
|
1120 |
+
ngram_lm_scale_2.3_attention_scale_0.3 7.27
|
1121 |
+
ngram_lm_scale_1.9_attention_scale_0.05 7.3
|
1122 |
+
ngram_lm_scale_5.0_attention_scale_2.0 7.31
|
1123 |
+
ngram_lm_scale_2.0_attention_scale_0.1 7.33
|
1124 |
+
ngram_lm_scale_3.0_attention_scale_0.7 7.33
|
1125 |
+
ngram_lm_scale_4.0_attention_scale_1.3 7.36
|
1126 |
+
ngram_lm_scale_2.0_attention_scale_0.08 7.37
|
1127 |
+
ngram_lm_scale_5.0_attention_scale_1.9 7.38
|
1128 |
+
ngram_lm_scale_1.9_attention_scale_0.01 7.41
|
1129 |
+
ngram_lm_scale_2.0_attention_scale_0.05 7.45
|
1130 |
+
ngram_lm_scale_3.0_attention_scale_0.6 7.45
|
1131 |
+
ngram_lm_scale_4.0_attention_scale_1.2 7.45
|
1132 |
+
ngram_lm_scale_2.1_attention_scale_0.1 7.46
|
1133 |
+
ngram_lm_scale_2.5_attention_scale_0.3 7.48
|
1134 |
+
ngram_lm_scale_2.1_attention_scale_0.08 7.5
|
1135 |
+
ngram_lm_scale_2.0_attention_scale_0.01 7.52
|
1136 |
+
ngram_lm_scale_5.0_attention_scale_1.7 7.53
|
1137 |
+
ngram_lm_scale_4.0_attention_scale_1.1 7.56
|
1138 |
+
ngram_lm_scale_2.1_attention_scale_0.05 7.57
|
1139 |
+
ngram_lm_scale_2.2_attention_scale_0.1 7.58
|
1140 |
+
ngram_lm_scale_3.0_attention_scale_0.5 7.62
|
1141 |
+
ngram_lm_scale_2.2_attention_scale_0.08 7.64
|
1142 |
+
ngram_lm_scale_2.1_attention_scale_0.01 7.67
|
1143 |
+
ngram_lm_scale_4.0_attention_scale_1.0 7.67
|
1144 |
+
ngram_lm_scale_2.3_attention_scale_0.1 7.68
|
1145 |
+
ngram_lm_scale_2.2_attention_scale_0.05 7.69
|
1146 |
+
ngram_lm_scale_5.0_attention_scale_1.5 7.71
|
1147 |
+
ngram_lm_scale_2.3_attention_scale_0.08 7.74
|
1148 |
+
ngram_lm_scale_2.2_attention_scale_0.01 7.78
|
1149 |
+
ngram_lm_scale_4.0_attention_scale_0.9 7.79
|
1150 |
+
ngram_lm_scale_2.3_attention_scale_0.05 7.82
|
1151 |
+
ngram_lm_scale_5.0_attention_scale_1.3 7.89
|
1152 |
+
ngram_lm_scale_2.5_attention_scale_0.1 7.9
|
1153 |
+
ngram_lm_scale_2.3_attention_scale_0.01 7.93
|
1154 |
+
ngram_lm_scale_2.5_attention_scale_0.08 7.97
|
1155 |
+
ngram_lm_scale_3.0_attention_scale_0.3 7.97
|
1156 |
+
ngram_lm_scale_5.0_attention_scale_1.2 8.0
|
1157 |
+
ngram_lm_scale_2.5_attention_scale_0.05 8.04
|
1158 |
+
ngram_lm_scale_4.0_attention_scale_0.7 8.04
|
1159 |
+
ngram_lm_scale_5.0_attention_scale_1.1 8.11
|
1160 |
+
ngram_lm_scale_2.5_attention_scale_0.01 8.12
|
1161 |
+
ngram_lm_scale_4.0_attention_scale_0.6 8.18
|
1162 |
+
ngram_lm_scale_5.0_attention_scale_1.0 8.2
|
1163 |
+
ngram_lm_scale_4.0_attention_scale_0.5 8.32
|
1164 |
+
ngram_lm_scale_5.0_attention_scale_0.9 8.32
|
1165 |
+
ngram_lm_scale_3.0_attention_scale_0.1 8.33
|
1166 |
+
ngram_lm_scale_3.0_attention_scale_0.08 8.38
|
1167 |
+
ngram_lm_scale_3.0_attention_scale_0.05 8.44
|
1168 |
+
ngram_lm_scale_3.0_attention_scale_0.01 8.51
|
1169 |
+
ngram_lm_scale_5.0_attention_scale_0.7 8.52
|
1170 |
+
ngram_lm_scale_4.0_attention_scale_0.3 8.6
|
1171 |
+
ngram_lm_scale_5.0_attention_scale_0.6 8.62
|
1172 |
+
ngram_lm_scale_5.0_attention_scale_0.5 8.73
|
1173 |
+
ngram_lm_scale_4.0_attention_scale_0.1 8.83
|
1174 |
+
ngram_lm_scale_4.0_attention_scale_0.08 8.84
|
1175 |
+
ngram_lm_scale_4.0_attention_scale_0.05 8.89
|
1176 |
+
ngram_lm_scale_5.0_attention_scale_0.3 8.93
|
1177 |
+
ngram_lm_scale_4.0_attention_scale_0.01 8.94
|
1178 |
+
ngram_lm_scale_5.0_attention_scale_0.1 9.15
|
1179 |
+
ngram_lm_scale_5.0_attention_scale_0.08 9.17
|
1180 |
+
ngram_lm_scale_5.0_attention_scale_0.05 9.22
|
1181 |
+
ngram_lm_scale_5.0_attention_scale_0.01 9.26
|
1182 |
+
|
1183 |
+
2021-11-09 18:11:34,379 INFO [decode.py:684] Done!
|