modified requirements.txt

lucas0 · Mar 4, 2022 · 111992a · 111992a
1 parent 885d17d
commit 111992a
Show file tree

Hide file tree

Showing 12 changed files with 31 additions and 8 deletions.
diff --git a/lux_best_models/best_model.h5 b/lux_best_models/best_model.h5
diff --git a/plots/model0.png b/plots/model0.png
diff --git a/plots/model1.png b/plots/model1.png
diff --git a/plots/model2.png b/plots/model2.png
diff --git a/plots/model3.png b/plots/model3.png
diff --git a/plots/model4.png b/plots/model4.png
diff --git a/plots/model5.png b/plots/model5.png
diff --git a/plots/model6.png b/plots/model6.png
diff --git a/plots/model7.png b/plots/model7.png
diff --git a/plots/model8.png b/plots/model8.png
diff --git a/requirements.txt b/requirements.txt
@@ -7,18 +7,22 @@ astunparse==1.6.3
 async-timeout==3.0.1
 attrs==20.3.0
 backcall==0.2.0
+backports.weakref==1.0rc1
 beautifulsoup4==4.8.0
 bert-serving-client==1.10.0
 bert-serving-server==1.10.0
-bleach==3.3.0
+bleach==4.1.0
 blessings==1.7
 boto==2.49.0
 boto3==1.9.180
 botocore==1.12.180
+cached-property==1.5.2
 cachetools==4.2.1
 certifi==2018.4.16
 chardet==3.0.4
+clang==5.0
 click==7.1.2
+cloudpickle==2.0.0
 colorama==0.4.4
 colorful==0.5.4
 contextvars==2.4
@@ -27,9 +31,10 @@ cycler==0.10.0
 dask==2021.2.0
 dataclasses==0.8
 decorator==4.3.0
-dill==0.3.3
+dill==0.3.4
 docker==4.2.0
 docutils==0.14
+enum34==1.1.10
 feedfinder2==0.0.4
 feedparser==5.2.1
 filelock==3.0.12
@@ -44,9 +49,10 @@ google-pasta==0.2.0
 googleapis-common-protos==1.52.0
 gpustat==0.6.0
 GPUtil==1.4.0
-grpcio==1.32.0
+grpcio==1.40.0
 h5py==2.10.0
 hiredis==1.1.0
+html5lib==0.9999999
 idna==2.7
 idna-ssl==1.1.0
 immutables==0.15
@@ -63,17 +69,22 @@ joblib==0.13.2
 jsonschema==3.2.0
 jupyter-client==6.1.11
 jupyter-core==4.7.1
+keras==2.6.0
 Keras-Applications==1.0.8
+keras-nightly==2.5.0.dev2021032900
 Keras-Preprocessing==1.1.2
+keras-tuner==1.0.4
 kiwisolver==1.0.1
+kt-legacy==1.0.4
 lexical-diversity==0.1.0
 locket==0.2.1
 lxml==4.4.1
-Markdown==3.1.1
+Markdown==3.3.4
 matplotlib==2.2.2
 modin==0.8.3
 msgpack==1.0.2
 multidict==5.1.0
+multiprocess==0.70.12.2
 nbformat==5.1.2
 networkx==2.1
 newspaper3k==0.2.8
@@ -89,10 +100,13 @@ pandarallel==1.5.2
 pandas==1.1.5
 parso==0.8.1
 partd==1.1.0
+pathos==0.2.8
 pexpect==4.8.0
 pickleshare==0.7.5
 Pillow==6.1.0
-pkg-resources==0.0.0
+pkg_resources==0.0.0
+pox==0.3.0
+ppft==1.6.6.4
 prometheus-client==0.9.0
 prompt-toolkit==3.0.14
 protobuf==3.14.0
@@ -119,21 +133,23 @@ requests-file==1.4.3
 requests-oauthlib==1.3.0
 rsa==4.7
 s3transfer==0.2.1
-scikit-learn==0.18
+scikit-learn==0.18.1
 scipy==1.1.0
 seaborn==0.9.0
-six==1.15.0
+six==1.16.0
 sklearn==0.0
 smart-open==1.8.4
 soupsieve==1.9.3
 SPARQLWrapper==1.8.2
 style==1.1.0
-swifter==1.0.7
+swifter==1.0.9
 tag-fixer==0.0.4
 tensorboard==1.15.0
+tensorboard-data-server==0.6.1
 tensorboard-plugin-wit==1.8.0
 tensorflow-estimator==1.15.1
 tensorflow-gpu==1.15.0
+tensorflow-tensorboard==0.4.0
 termcolor==1.1.0
 textblob==0.15.3
 threadpoolctl==2.1.0

diff --git a/results.txt b/results.txt
@@ -234,3 +234,10 @@ TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.0005, 256, 0.7, 32) AVG: 0.7603
 TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.0005, 512, 0.7, 32) AVG: 0.7557488807488807 VAR: 0.00037773867316557864 F1: 0.7539252567554904 SEED: 23316
 TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 128, 0.3, 32) AVG: 0.7564024294793525 VAR: 0.0004868316226035867 F1: 0.7547558356122999 SEED: 23316
 TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 256, 0.3, 32) AVG: 0.7504696158542312 VAR: 0.0006314385879593841 F1: 0.7487468106519192 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 512, 0.3, 32) AVG: 0.7471588240819009 VAR: 0.0005541244886835196 F1: 0.7435478263869774 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 128, 0.5, 32) AVG: 0.7531190319651858 VAR: 0.0002528565979688601 F1: 0.751736192005828 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 256, 0.5, 32) AVG: 0.7537764941611096 VAR: 0.0004097708675620353 F1: 0.7521021092471034 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 512, 0.5, 32) AVG: 0.7498121536583074 VAR: 0.0005330712795708346 F1: 0.7473458615526168 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 128, 0.7, 32) AVG: 0.7505009235778467 VAR: 0.0002727565716297336 F1: 0.7482370325908192 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 256, 0.7, 32) AVG: 0.7551031589493128 VAR: 0.00020148349640466132 F1: 0.7538103562805943 SEED: 23316
+TrainShape:(1182, 869) #EPOCH: ([], 200, bert, 0.001, 512, 0.7, 32) AVG: 0.75182758836605 VAR: 0.00047025057787087785 F1: 0.7504017807136204 SEED: 23316