Skip to content

  • 体验新版
    • 正在加载...
  • 登录
  • PaddlePaddle
  • models
  • 合并请求
  • !4377

M
models
  • 项目概览

PaddlePaddle / models
大约 2 年 前同步成功

通知 232
Star 6828
Fork 2962
  • 代码
    • 文件
    • 提交
    • 分支
    • Tags
    • 贡献者
    • 分支图
    • Diff
  • Issue 602
    • 列表
    • 看板
    • 标记
    • 里程碑
  • 合并请求 255
  • Wiki 0
    • Wiki
  • 分析
    • 仓库
    • DevOps
  • 项目成员
  • Pages
M
models
  • 项目概览
    • 项目概览
    • 详情
    • 发布
  • 仓库
    • 仓库
    • 文件
    • 提交
    • 分支
    • 标签
    • 贡献者
    • 分支图
    • 比较
  • Issue 602
    • Issue 602
    • 列表
    • 看板
    • 标记
    • 里程碑
  • 合并请求 255
    • 合并请求 255
  • Pages
  • 分析
    • 分析
    • 仓库分析
    • DevOps
  • Wiki 0
    • Wiki
  • 成员
    • 成员
  • 收起侧边栏
  • 动态
  • 分支图
  • 创建新Issue
  • 提交
  • Issue看板

add dataloader for seq2seq !4377

  • Report abuse
!4377 开放中 3月 06, 2020 由 saxon_zh@saxon_zh 创建
#<User:0x00007fedee689758>
  • 概览 0
  • 提交 14
  • 变更 58

Created by: JepsonWong

add dataloader for seq2seq.

1.7.0:

-- Epoch:[0]; Batch:[100]; Time: 0.13797 s; ppl: 485.27556
-- Epoch:[0]; Batch:[200]; Time: 0.12886 s; ppl: 240.92520
-- Epoch:[0]; Batch:[300]; Time: 0.14664 s; ppl: 146.76782
-- Epoch:[0]; Batch:[400]; Time: 0.11538 s; ppl: 98.72650
-- Epoch:[0]; Batch:[500]; Time: 0.14769 s; ppl: 72.46521
-- Epoch:[0]; Batch:[600]; Time: 0.10891 s; ppl: 50.58025
-- Epoch:[0]; Batch:[700]; Time: 0.11890 s; ppl: 43.79331
-- Epoch:[0]; Batch:[800]; Time: 0.12919 s; ppl: 36.08316
-- Epoch:[0]; Batch:[900]; Time: 0.13054 s; ppl: 33.17884
-- Epoch:[0]; Batch:[1000]; Time: 0.10040 s; ppl: 33.15334
Train epoch:[0]; Epoch Time: 327.73248; avg_time: 0.31075 s/step

-- Epoch:[1]; Batch:[100]; Time: 0.10352 s; ppl: 25.16106
-- Epoch:[1]; Batch:[200]; Time: 0.12170 s; ppl: 22.02668
-- Epoch:[1]; Batch:[300]; Time: 0.11957 s; ppl: 19.21704
-- Epoch:[1]; Batch:[400]; Time: 0.10764 s; ppl: 19.65568
-- Epoch:[1]; Batch:[500]; Time: 0.14002 s; ppl: 18.72767
-- Epoch:[1]; Batch:[600]; Time: 0.10404 s; ppl: 16.13224
-- Epoch:[1]; Batch:[700]; Time: 0.11563 s; ppl: 16.32774
-- Epoch:[1]; Batch:[800]; Time: 0.12431 s; ppl: 15.09768
-- Epoch:[1]; Batch:[900]; Time: 0.13960 s; ppl: 15.16519
-- Epoch:[1]; Batch:[1000]; Time: 0.10603 s; ppl: 16.14104
Train epoch:[1]; Epoch Time: 317.63054; avg_time: 0.30145 s/step

-- Epoch:[2]; Batch:[100]; Time: 0.11607 s; ppl: 13.42104
-- Epoch:[2]; Batch:[200]; Time: 0.12969 s; ppl: 12.45739
-- Epoch:[2]; Batch:[300]; Time: 0.13076 s; ppl: 11.25073
-- Epoch:[2]; Batch:[400]; Time: 0.11045 s; ppl: 12.08184
-- Epoch:[2]; Batch:[500]; Time: 0.13646 s; ppl: 11.88435
-- Epoch:[2]; Batch:[600]; Time: 0.10717 s; ppl: 10.73674
-- Epoch:[2]; Batch:[700]; Time: 0.11687 s; ppl: 11.02143
-- Epoch:[2]; Batch:[800]; Time: 0.13232 s; ppl: 10.60439
-- Epoch:[2]; Batch:[900]; Time: 0.14060 s; ppl: 10.46024
-- Epoch:[2]; Batch:[1000]; Time: 0.09651 s; ppl: 11.37829
Train epoch:[2]; Epoch Time: 321.35660; avg_time: 0.30495 s/step

-- Epoch:[3]; Batch:[100]; Time: 0.12971 s; ppl: 9.84421
-- Epoch:[3]; Batch:[200]; Time: 0.17458 s; ppl: 9.23038
-- Epoch:[3]; Batch:[300]; Time: 0.12176 s; ppl: 8.49308
-- Epoch:[3]; Batch:[400]; Time: 0.11894 s; ppl: 9.14306
-- Epoch:[3]; Batch:[500]; Time: 0.13966 s; ppl: 9.24141
-- Epoch:[3]; Batch:[600]; Time: 0.10183 s; ppl: 8.41742
-- Epoch:[3]; Batch:[700]; Time: 0.11645 s; ppl: 8.62797
-- Epoch:[3]; Batch:[800]; Time: 0.12236 s; ppl: 8.60114
-- Epoch:[3]; Batch:[900]; Time: 0.13539 s; ppl: 8.35749
-- Epoch:[3]; Batch:[1000]; Time: 0.09380 s; ppl: 9.18386
Train epoch:[3]; Epoch Time: 321.00874; avg_time: 0.30430 s/step

-- Epoch:[4]; Batch:[100]; Time: 0.10334 s; ppl: 8.12115
-- Epoch:[4]; Batch:[200]; Time: 0.11693 s; ppl: 7.55782
-- Epoch:[4]; Batch:[300]; Time: 0.10830 s; ppl: 7.11914
-- Epoch:[4]; Batch:[400]; Time: 0.11142 s; ppl: 7.55348
-- Epoch:[4]; Batch:[500]; Time: 0.12647 s; ppl: 7.67579
-- Epoch:[4]; Batch:[600]; Time: 0.09058 s; ppl: 7.06502
-- Epoch:[4]; Batch:[700]; Time: 0.13929 s; ppl: 7.21603
-- Epoch:[4]; Batch:[800]; Time: 0.11377 s; ppl: 7.19111
-- Epoch:[4]; Batch:[900]; Time: 0.12153 s; ppl: 7.02148
-- Epoch:[4]; Batch:[1000]; Time: 0.08657 s; ppl: 7.84391
Train epoch:[4]; Epoch Time: 294.01391; avg_time: 0.27894 s/step

-- Epoch:[5]; Batch:[100]; Time: 0.10274 s; ppl: 6.90528
-- Epoch:[5]; Batch:[200]; Time: 0.11319 s; ppl: 6.40949
-- Epoch:[5]; Batch:[300]; Time: 0.11147 s; ppl: 6.10432
-- Epoch:[5]; Batch:[400]; Time: 0.09536 s; ppl: 6.62869
-- Epoch:[5]; Batch:[500]; Time: 0.12387 s; ppl: 6.63936
-- Epoch:[5]; Batch:[600]; Time: 0.09200 s; ppl: 6.09945
-- Epoch:[5]; Batch:[700]; Time: 0.09753 s; ppl: 6.30576
-- Epoch:[5]; Batch:[800]; Time: 0.12054 s; ppl: 6.20876
-- Epoch:[5]; Batch:[900]; Time: 0.12753 s; ppl: 6.14133
-- Epoch:[5]; Batch:[1000]; Time: 0.09157 s; ppl: 6.72946
Train epoch:[5]; Epoch Time: 290.87147; avg_time: 0.27603 s/step

develop:

-- Epoch:[0]; Batch:[100]; Time: 0.09927 s; ppl: 485.69727
-- Epoch:[0]; Batch:[200]; Time: 0.11030 s; ppl: 240.97714
-- Epoch:[0]; Batch:[300]; Time: 0.10571 s; ppl: 147.61790
-- Epoch:[0]; Batch:[400]; Time: 0.09628 s; ppl: 99.06590
-- Epoch:[0]; Batch:[500]; Time: 0.11892 s; ppl: 72.37745
-- Epoch:[0]; Batch:[600]; Time: 0.09523 s; ppl: 50.20113
-- Epoch:[0]; Batch:[700]; Time: 0.10502 s; ppl: 43.76393
-- Epoch:[0]; Batch:[800]; Time: 0.11429 s; ppl: 35.95067
-- Epoch:[0]; Batch:[900]; Time: 0.12320 s; ppl: 32.83636
-- Epoch:[0]; Batch:[1000]; Time: 0.08886 s; ppl: 33.21380
Train epoch:[0]; Epoch Time: 284.08296; avg_time: 0.26946 s/step

-- Epoch:[1]; Batch:[100]; Time: 0.11073 s; ppl: 25.03152
-- Epoch:[1]; Batch:[200]; Time: 0.12003 s; ppl: 21.86988
-- Epoch:[1]; Batch:[300]; Time: 0.10475 s; ppl: 19.31184
-- Epoch:[1]; Batch:[400]; Time: 0.09941 s; ppl: 19.33428
-- Epoch:[1]; Batch:[500]; Time: 0.15979 s; ppl: 19.01874
-- Epoch:[1]; Batch:[600]; Time: 0.09984 s; ppl: 16.07280
-- Epoch:[1]; Batch:[700]; Time: 0.09836 s; ppl: 16.51026
-- Epoch:[1]; Batch:[800]; Time: 0.10797 s; ppl: 15.06073
-- Epoch:[1]; Batch:[900]; Time: 0.11527 s; ppl: 15.03655
-- Epoch:[1]; Batch:[1000]; Time: 0.08916 s; ppl: 16.28758
Train epoch:[1]; Epoch Time: 292.74497; avg_time: 0.27830 s/step

-- Epoch:[2]; Batch:[100]; Time: 0.09836 s; ppl: 13.60783
-- Epoch:[2]; Batch:[200]; Time: 0.10850 s; ppl: 12.42435
-- Epoch:[2]; Batch:[300]; Time: 0.10372 s; ppl: 11.19597
-- Epoch:[2]; Batch:[400]; Time: 0.09497 s; ppl: 11.83070
-- Epoch:[2]; Batch:[500]; Time: 0.11871 s; ppl: 11.94742
-- Epoch:[2]; Batch:[600]; Time: 0.08622 s; ppl: 10.64706
-- Epoch:[2]; Batch:[700]; Time: 0.09909 s; ppl: 11.17663
-- Epoch:[2]; Batch:[800]; Time: 0.11402 s; ppl: 10.53449
-- Epoch:[2]; Batch:[900]; Time: 0.11905 s; ppl: 10.55764
-- Epoch:[2]; Batch:[1000]; Time: 0.08283 s; ppl: 11.45152
Train epoch:[2]; Epoch Time: 275.63878; avg_time: 0.26152 s/step

-- Epoch:[3]; Batch:[100]; Time: 0.10964 s; ppl: 9.97863
-- Epoch:[3]; Batch:[200]; Time: 0.11491 s; ppl: 9.36300
-- Epoch:[3]; Batch:[300]; Time: 0.11184 s; ppl: 8.47306
-- Epoch:[3]; Batch:[400]; Time: 0.10569 s; ppl: 9.06469
-- Epoch:[3]; Batch:[500]; Time: 0.12949 s; ppl: 9.30301
-- Epoch:[3]; Batch:[600]; Time: 0.09394 s; ppl: 8.35555
-- Epoch:[3]; Batch:[700]; Time: 0.11191 s; ppl: 8.70492
-- Epoch:[3]; Batch:[800]; Time: 0.14475 s; ppl: 8.35808
-- Epoch:[3]; Batch:[900]; Time: 0.16802 s; ppl: 8.35319
-- Epoch:[3]; Batch:[1000]; Time: 0.10665 s; ppl: 9.02744
Train epoch:[3]; Epoch Time: 317.41175; avg_time: 0.30108 s/step

-- Epoch:[4]; Batch:[100]; Time: 0.12824 s; ppl: 8.10008
-- Epoch:[4]; Batch:[200]; Time: 0.11959 s; ppl: 7.57185
-- Epoch:[4]; Batch:[300]; Time: 0.11344 s; ppl: 7.03630
-- Epoch:[4]; Batch:[400]; Time: 0.10568 s; ppl: 7.56011
-- Epoch:[4]; Batch:[500]; Time: 0.13163 s; ppl: 7.85504
-- Epoch:[4]; Batch:[600]; Time: 0.09790 s; ppl: 6.98017
-- Epoch:[4]; Batch:[700]; Time: 0.11025 s; ppl: 7.26515
-- Epoch:[4]; Batch:[800]; Time: 0.11490 s; ppl: 7.15001
-- Epoch:[4]; Batch:[900]; Time: 0.13308 s; ppl: 7.06806
-- Epoch:[4]; Batch:[1000]; Time: 0.08176 s; ppl: 7.71039
Train epoch:[4]; Epoch Time: 312.62300; avg_time: 0.29619 s/step

-- Epoch:[5]; Batch:[100]; Time: 0.11303 s; ppl: 6.87338
-- Epoch:[5]; Batch:[200]; Time: 0.17841 s; ppl: 6.46120
-- Epoch:[5]; Batch:[300]; Time: 0.11422 s; ppl: 6.07377
-- Epoch:[5]; Batch:[400]; Time: 0.10600 s; ppl: 6.62446
-- Epoch:[5]; Batch:[500]; Time: 0.14465 s; ppl: 6.72500
-- Epoch:[5]; Batch:[600]; Time: 0.11218 s; ppl: 6.02742
-- Epoch:[5]; Batch:[700]; Time: 0.10870 s; ppl: 6.40271
-- Epoch:[5]; Batch:[800]; Time: 0.11464 s; ppl: 6.28339
-- Epoch:[5]; Batch:[900]; Time: 0.13164 s; ppl: 6.25134
-- Epoch:[5]; Batch:[1000]; Time: 0.09276 s; ppl: 6.79961
Train epoch:[5]; Epoch Time: 316.02392; avg_time: 0.29946 s/step
指派人
分配到
审核者
Request review from
无
里程碑
无
分配里程碑
工时统计
标识: paddlepaddle/models!4377
Source branch: github/fork/JepsonWong/seq2seq_dataloader
渝ICP备2023009037号

京公网安备11010502055752号

网络110报警服务 Powered by GitLab CE v13.7
开源知识
Git 入门 Pro Git 电子书 在线学 Git
Markdown 基础入门 IT 技术知识开源图谱
帮助
使用手册 反馈建议 博客
《GitCode 隐私声明》 《GitCode 服务条款》 关于GitCode
Powered by GitLab CE v13.7