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120 add use examples efficientnet fine tuning on cifar 100 #123

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sashakolpakov Oct 31, 2023
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7 changes: 5 additions & 2 deletions .github/workflows/automerge.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ name: Python application

on:
push:
branches: [ "main", "125-add-use-cases-gpt2-encoder-for-phishing-email-detection" ]
branches: [ "main", "120-add-use-examples-efficientnet-fine-tuning-on-cifar-100" ]

permissions:
contents: read
Expand Down Expand Up @@ -37,6 +37,9 @@ jobs:
# run: python3 test_simple_cerebros_gridsearch.py
# - name: Test distributed random search wine by running.
# run: python3 random_search.py
- name: Test image classifier EfficientNetv2S - CIFAR100
run: python3 cifar_100_EfficientNet.py
timeout-minutes: 600
# - name: Test CerebrosRealNeuronNetwork
# run: python3 realnn-regression-example-ames-no-preproc.py
# timeout-minutes: 45
Expand All @@ -51,5 +54,5 @@ jobs:
timeout-minutes: 90
run: python3 cifar10-example.py
- name: Phishing email detection with GPT2 embedding
timeout-minutes: 120
timeout-minutes: 180
run: python3 phishing_email_detection_gpt2.py
4 changes: 3 additions & 1 deletion cicd-requirements.txt
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@@ -1,4 +1,6 @@
tensorflow-datasets==4.9.3
gmpy2==2.1.5
matplotlib==3.6.2
tensorflow-text==2.12.0
keras-nlp==0.6.2
scikit-learn==1.3.2
scikit-learn==1.3.2
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