Librarian Bot: Add base_model information to model
#1
by
librarian-bot
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README.md
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license: apache-2.0
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language: en
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tags:
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- generated_from_keras_callback
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model-index:
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- name: pull_request_comments_model
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results: []
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widget:
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- text:
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Please add a detailed comment explaining what this config parameter means.
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example_title: Code example
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- text:
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Then I set the train_steps to 2000, only the is_chief role can restore the model
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example_title: ML example
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- text:
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example_title: Management example
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- text:
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example_title: Other example
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pipeline_tag: text-classification
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---
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# pull_request_comments_model
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---
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language: en
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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widget:
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- text: Please add a detailed comment explaining what this config parameter means.
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example_title: Code example
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- text: Because if non-chief workers don’t restore the model from the checkpoint,
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training can‘t continue. For example, I am using tf.estimator.Estimator API and
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tf.distribute.CollectiveAllReduceStrategy for distributed training. Firstly, I
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train for 1000 rounds(train_stpes=1000) and save the checkpoint, it works normally.
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Then I set the train_steps to 2000, only the is_chief role can restore the model
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from the checkpoint without any error.
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example_title: ML example
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- text: Hi, Could you please review this PR when you have some time? Thank you very
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much!
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example_title: Management example
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- text: Sorry, i was on holiday all the month and i didn’t have so much time to review
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this PR. I also had a lot of problems with my computer, so i couldn’t work...
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example_title: Other example
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pipeline_tag: text-classification
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base_model: distilbert-base-uncased
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model-index:
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- name: pull_request_comments_model
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results: []
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---
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# pull_request_comments_model
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