Commit Graph

39 Commits

Author SHA1 Message Date
Sofie Van Landeghem
cd70c3cb79
Fixing pretrain (#7342)
* initialize NLP with train corpus

* add more pretraining tests

* more tests

* function to fetch tok2vec layer for pretraining

* clarify parameter name

* test different objectives

* formatting

* fix check for static vectors when using vectors objective

* clarify docs

* logger statement

* fix init_tok2vec and proc.initialize order

* test training after pretraining

* add init_config tests for pretraining

* pop pretraining block to avoid config validation errors

* custom errors
2021-03-09 14:01:13 +11:00
svlandeg
d900c55061 consistently use registry as callable 2021-03-02 17:56:28 +01:00
Ines Montani
97d5a7ba99 Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2021-01-13 12:03:02 +11:00
Ines Montani
8d6448ccf7 Add config resolver test 2021-01-13 12:02:59 +11:00
Ines Montani
991669c934 Tidy up and auto-format 2021-01-05 13:41:53 +11:00
Sofie Van Landeghem
282a3b49ea
Fix parser resizing when there is no upper layer (#6460)
* allow resizing of the parser model even when upper=False

* update from spacy.TransitionBasedParser.v1 to v2

* bugfix
2020-12-18 18:56:57 +08:00
Sofie Van Landeghem
f98a04434a
pretrain architectures (#6451)
* define new architectures for the pretraining objective

* add loss function as attr of the omdel

* cleanup

* cleanup

* shorten name

* fix typo

* remove unused error
2020-12-08 14:41:03 +08:00
Matthew Honnibal
91d0fbb588 Fix test 2020-10-05 21:13:53 +02:00
Ines Montani
1aeef3bfbb Make corpus paths default to None and improve errors 2020-09-29 22:33:46 +02:00
Ines Montani
ff9a63bfbd begin_training -> initialize 2020-09-28 21:35:09 +02:00
Ines Montani
7e938ed63e Update config resolution to use new Thinc 2020-09-27 22:21:31 +02:00
Ines Montani
ca3c997062 Improve CLI config validation with latest Thinc 2020-09-26 13:13:57 +02:00
svlandeg
b816ace4bb format 2020-09-23 17:33:13 +02:00
svlandeg
5a9fdbc8ad state_type as Literal 2020-09-23 17:32:14 +02:00
svlandeg
dd2292793f 'parser' instead of 'deps' for state_type 2020-09-23 16:53:49 +02:00
svlandeg
6c85fab316 state_type and extra_state_tokens instead of nr_feature_tokens 2020-09-23 13:35:09 +02:00
svlandeg
0c35885751 generalize corpora, dot notation for dev and train corpus 2020-09-17 11:38:59 +02:00
svlandeg
51fa929f47 rewrite train_corpus to corpus.train in config 2020-09-15 21:58:04 +02:00
Ines Montani
c063e55eb7 Add prefix to batchers 2020-09-03 17:30:41 +02:00
Adriane Boyd
9130094199
Prevent Tagger model init with 0 labels (#5984)
* Prevent Tagger model init with 0 labels

Raise an error before trying to initialize a tagger model with 0 labels.

* Add dummy tagger label for test

* Remove tagless tagger model initializiation

* Fix error number after merge

* Add dummy tagger label to test

* Fix formatting

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-08-31 21:24:33 +02:00
Ines Montani
daac8ebacd Don't interpolate config on Language deserialization 2020-08-27 16:44:36 +02:00
Ines Montani
e12b03358b
Support removing extra values in fill-config (#5966)
* Support removing extra values in fill-config

* Fix test
2020-08-24 22:53:47 +02:00
Ines Montani
0e7f99da58
Fix handling of optional [pretraining] block (#5954)
* Fix handling of optional [pretraining] block

* Remote pretraining from default config

* Fix test

* Add schema option for empty pretrain block
2020-08-24 15:56:03 +02:00
Ines Montani
6ad59d59fe Merge branch 'develop' of https://github.com/explosion/spaCy into develop [ci skip] 2020-08-20 11:20:58 +02:00
Ines Montani
88b0a96801 Update for new Thinc and adjust config 2020-08-13 17:38:30 +02:00
Ines Montani
3a193eb8f1 Fix imports, types and default configs 2020-08-07 18:40:54 +02:00
Ines Montani
5cc0d89fad
Simplify config overrides in CLI and deserialization (#5880) 2020-08-05 23:35:09 +02:00
Ines Montani
e68459296d Tidy up and auto-format 2020-08-05 16:00:59 +02:00
Matthew Honnibal
ecb3c4e8f4
Create corpus iterator and batcher from registry during training (#5865)
* Move batchers into their own module (and registry)

* Update CLI

* Update Corpus and batcher

* Update tests

* Update one config

* Merge 'evaluation' block back under [training]

* Import batchers in gold __init__

* Fix batchers

* Update config

* Update schema

* Update util

* Don't assume train and dev are actually paths

* Update onto-joint config

* Fix missing import

* Format

* Format

* Update spacy/gold/corpus.py

Co-authored-by: Ines Montani <ines@ines.io>

* Fix name

* Update default config

* Fix get_length option in batchers

* Update test

* Add comment

* Pass path into Corpus

* Update docstring

* Update schema and configs

* Update config

* Fix test

* Fix paths

* Fix print

* Fix create_train_batches

* [training.read_train] -> [training.train_corpus]

* Update onto-joint config

Co-authored-by: Ines Montani <ines@ines.io>
2020-08-04 15:09:37 +02:00
Matthew Honnibal
f0cf4a2dca Update tests 2020-07-29 14:01:14 +02:00
Matthew Honnibal
c7d1ece3eb Update tests 2020-07-29 14:01:13 +02:00
Matthew Honnibal
20e9098e3f Update tests 2020-07-29 14:01:12 +02:00
Ines Montani
d0c6d1efc5
@factories -> factory (#5801) 2020-07-22 17:29:31 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +02:00
Ines Montani
7906ddd56c Fix test 2020-07-12 14:28:34 +02:00
svlandeg
eac12cbb77 make dropout in embed layers configurable 2020-06-03 11:50:16 +02:00
Matthew Honnibal
333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
Ines Montani
5da3ad682a Tidy up and auto-format 2020-02-28 11:57:41 +01:00
Sofie Van Landeghem
06f0a8daa0
Default settings to configurations (#4995)
* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

* further refactor to require a model config when creating a pipe

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

* allow reading nlp from package or dir with argument 'name'

* architecture spacy.VocabVectors.v1 to read static vectors from file

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

* add IO bit when testing overfitting of tagger (currently failing)

* fix IO - don't initialize when reading from disk

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build
2020-02-27 18:42:27 +01:00