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Better formatting for spacy train CLI (#2357)
* Better formatting for `spacy train` CLI Changed to use fixed-spaces rather than tabs to align table headers and data. ### Before: ``` Itn. P.Loss N.Loss UAS NER P. NER R. NER F. Tag % Token % 0 4618.857 2910.004 76.172 79.645 67.987 88.732 88.261 100.000 4436.9 6376.4 1 4671.972 3764.812 74.481 78.046 62.374 82.680 88.377 100.000 4672.2 6227.1 2 4742.756 3673.473 71.994 77.380 63.966 84.494 90.620 100.000 4298.0 5983.9 ``` ### After: ``` Itn. Dep Loss NER Loss UAS NER P. NER R. NER F. Tag % Token % CPU WPS GPU WPS 0 4618.857 2910.004 76.172 79.645 67.987 88.732 88.261 100.000 4436.9 6376.4 1 4671.972 3764.812 74.481 78.046 62.374 82.680 88.377 100.000 4672.2 6227.1 2 4742.756 3673.473 71.994 77.380 63.966 84.494 90.620 100.000 4298.0 5983.9 ``` * Added contributor file
This commit is contained in:
James Messinger
Ines Montani
parent
592834183a
commit
4515e96e90
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.github/contributors/BigstickCarpet.md
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.github/contributors/BigstickCarpet.md
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
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The SCA applies to any contribution that you make to any product or project
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managed by us (the **"project"**), and sets out the intellectual property rights
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you grant to us in the contributed materials. The term **"us"** shall mean
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[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
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**"you"** shall mean the person or entity identified below.
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If you agree to be bound by these terms, fill in the information requested
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below and include the filled-in version with your first pull request, under the
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folder [`.github/contributors/`](/.github/contributors/). The name of the file
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should be your GitHub username, with the extension `.md`. For example, the user
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example_user would create the file `.github/contributors/example_user.md`.
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Read this agreement carefully before signing. These terms and conditions
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constitute a binding legal agreement.
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## Contributor Agreement
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1. The term "contribution" or "contributed materials" means any source code,
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object code, patch, tool, sample, graphic, specification, manual,
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documentation, or any other material posted or submitted by you to the project.
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2. With respect to any worldwide copyrights, or copyright applications and
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registrations, in your contribution:
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* you hereby assign to us joint ownership, and to the extent that such
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assignment is or becomes invalid, ineffective or unenforceable, you hereby
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grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
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royalty-free, unrestricted license to exercise all rights under those
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copyrights. This includes, at our option, the right to sublicense these same
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rights to third parties through multiple levels of sublicensees or other
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licensing arrangements;
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* you agree that each of us can do all things in relation to your
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contribution as if each of us were the sole owners, and if one of us makes
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a derivative work of your contribution, the one who makes the derivative
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work (or has it made will be the sole owner of that derivative work;
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* you agree that you will not assert any moral rights in your contribution
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against us, our licensees or transferees;
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* you agree that we may register a copyright in your contribution and
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exercise all ownership rights associated with it; and
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* you agree that neither of us has any duty to consult with, obtain the
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consent of, pay or render an accounting to the other for any use or
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distribution of your contribution.
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3. With respect to any patents you own, or that you can license without payment
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to any third party, you hereby grant to us a perpetual, irrevocable,
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non-exclusive, worldwide, no-charge, royalty-free license to:
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* make, have made, use, sell, offer to sell, import, and otherwise transfer
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your contribution in whole or in part, alone or in combination with or
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included in any product, work or materials arising out of the project to
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which your contribution was submitted, and
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* at our option, to sublicense these same rights to third parties through
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multiple levels of sublicensees or other licensing arrangements.
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4. Except as set out above, you keep all right, title, and interest in your
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contribution. The rights that you grant to us under these terms are effective
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on the date you first submitted a contribution to us, even if your submission
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took place before the date you sign these terms.
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5. You covenant, represent, warrant and agree that:
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* Each contribution that you submit is and shall be an original work of
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authorship and you can legally grant the rights set out in this SCA;
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* to the best of your knowledge, each contribution will not violate any
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third party's copyrights, trademarks, patents, or other intellectual
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property rights; and
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* each contribution shall be in compliance with U.S. export control laws and
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other applicable export and import laws. You agree to notify us if you
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become aware of any circumstance which would make any of the foregoing
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representations inaccurate in any respect. We may publicly disclose your
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participation in the project, including the fact that you have signed the SCA.
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6. This SCA is governed by the laws of the State of California and applicable
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U.S. Federal law. Any choice of law rules will not apply.
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7. Please place an “x” on one of the applicable statement below. Please do NOT
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mark both statements:
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* [ X] I am signing on behalf of myself as an individual and no other person
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or entity, including my employer, has or will have rights with respect to my
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contributions.
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* [ ] I am signing on behalf of my employer or a legal entity and I have the
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actual authority to contractually bind that entity.
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## Contributor Details
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| Field | Entry |
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|------------------------------- | -------------------- |
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| Name | James Messinger |
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| Company name (if applicable) | |
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| Title or role (if applicable) | |
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| Date | May 23, 2018 |
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| GitHub username | BigstickCarpet |
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| Website (optional) | |
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@ -116,7 +116,7 @@ def train(lang, output_dir, train_data, dev_data, n_iter=30, n_sents=0,
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optimizer = nlp.begin_training(lambda: corpus.train_tuples, device=use_gpu)
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nlp._optimizer = None
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print("Itn.\tP.Loss\tN.Loss\tUAS\tNER P.\tNER R.\tNER F.\tTag %\tToken %")
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print("Itn. Dep Loss NER Loss UAS NER P. NER R. NER F. Tag % Token % CPU WPS GPU WPS")
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try:
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train_docs = corpus.train_docs(nlp, projectivize=True, noise_level=0.0,
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gold_preproc=gold_preproc, max_length=0)
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@ -207,17 +207,17 @@ def print_progress(itn, losses, dev_scores, cpu_wps=0.0, gpu_wps=0.0):
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scores.update(dev_scores)
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scores['cpu_wps'] = cpu_wps
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scores['gpu_wps'] = gpu_wps or 0.0
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tpl = '\t'.join((
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'{:d}',
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'{dep_loss:.3f}',
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'{ner_loss:.3f}',
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'{uas:.3f}',
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'{ents_p:.3f}',
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'{ents_r:.3f}',
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'{ents_f:.3f}',
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'{tags_acc:.3f}',
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'{token_acc:.3f}',
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'{cpu_wps:.1f}',
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tpl = ''.join((
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'{:<6d}',
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'{dep_loss:<10.3f}',
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'{ner_loss:<10.3f}',
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'{uas:<8.3f}',
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'{ents_p:<8.3f}',
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'{ents_r:<8.3f}',
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'{ents_f:<8.3f}',
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'{tags_acc:<8.3f}',
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'{token_acc:<9.3f}',
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'{cpu_wps:<9.1f}',
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'{gpu_wps:.1f}',
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))
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print(tpl.format(itn, **scores))
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