danielvasic
commited on
Commit
•
11504f2
1
Parent(s):
055c2ad
Update spaCy pipeline
Browse files- .gitattributes +5 -0
- README.md +82 -0
- config.cfg +156 -0
- en_acnl_roberta_pipeline-any-py3-none-any.whl +3 -0
- meta.json +323 -0
- parser/cfg +13 -0
- parser/model +3 -0
- parser/moves +1 -0
- tagger/cfg +54 -0
- tagger/model +3 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model/config.json +26 -0
- transformer/model/merges.txt +0 -0
- transformer/model/pytorch_model.bin +3 -0
- transformer/model/special_tokens_map.json +1 -0
- transformer/model/tokenizer.json +0 -0
- transformer/model/tokenizer_config.json +1 -0
- transformer/model/vocab.json +0 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +3 -0
- vocab/vectors +3 -0
.gitattributes
CHANGED
@@ -25,3 +25,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*strings.json filter=lfs diff=lfs merge=lfs -text
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vectors filter=lfs diff=lfs merge=lfs -text
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model filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,82 @@
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---
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tags:
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- spacy
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- token-classification
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language:
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- en
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model-index:
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- name: en_acnl_roberta_pipeline
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results:
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS Accuracy
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type: accuracy
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value: 0.9805220696
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.9380376859
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- name: SENTER Recall
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type: recall
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value: 0.954223356
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- name: SENTER F Score
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type: f_score
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value: 0.946061298
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Dependencies Accuracy
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type: accuracy
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value: 0.9597776646
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Dependencies Accuracy
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type: accuracy
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value: 0.9597776646
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_acnl_roberta_pipeline` |
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| **Version** | `0.0.1` |
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| **spaCy** | `>=3.1.3,<3.2.0` |
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| **Default Pipeline** | `transformer`, `tagger`, `parser` |
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| **Components** | `transformer`, `tagger`, `parser` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (87 labels for 2 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `VERB`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `dative`, `dep`, `det`, `dobj`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nummod`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 98.05 |
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| `DEP_UAS` | 95.98 |
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| `DEP_LAS` | 94.83 |
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| `SENTS_P` | 93.80 |
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| `SENTS_R` | 95.42 |
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| `SENTS_F` | 94.61 |
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| `TRANSFORMER_LOSS` | 3784861.59 |
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| `TAGGER_LOSS` | 698704.80 |
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| `PARSER_LOSS` | 5540167.00 |
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config.cfg
ADDED
@@ -0,0 +1,156 @@
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[paths]
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train = "./datasets/spaCy/ontonotes.train.tree.spacy"
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dev = "./datasets/spaCy/ontonotes.dev.tree.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["transformer","tagger","parser"]
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batch_size = 128
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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[components.parser]
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factory = "parser"
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learn_tokens = false
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min_action_freq = 30
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moves = null
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update_with_oracle_cut_size = 100
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[components.parser.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "parser"
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extra_state_tokens = false
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hidden_width = 128
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maxout_pieces = 3
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use_upper = false
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nO = null
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[components.parser.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.tagger]
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factory = "tagger"
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[components.tagger.model]
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@architectures = "spacy.Tagger.v1"
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nO = null
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[components.tagger.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v1"
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name = "roberta-large"
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+
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
|
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max_length = 0
|
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gold_preproc = false
|
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limit = 0
|
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augmenter = null
|
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+
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
|
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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patience = 1600
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max_epochs = 0
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max_steps = 20000
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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discard_oversize = true
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size = 2000
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buffer = 256
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get_length = null
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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[training.optimizer.learn_rate]
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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total_steps = 20000
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initial_rate = 0.00005
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[training.score_weights]
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tag_acc = 0.5
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dep_uas = 0.25
|
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dep_las = 0.25
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dep_las_per_type = null
|
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sents_p = null
|
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sents_r = null
|
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sents_f = 0.0
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[pretraining]
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[initialize]
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vectors = null
|
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
|
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after_init = null
|
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|
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[initialize.components]
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[initialize.tokenizer]
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en_acnl_roberta_pipeline-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d91c26270dcf701b8caeb1bcccd50a7194b411fafe8f98b981b022a8c1c3beb
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size 1312885130
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meta.json
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322 |
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|
323 |
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|
parser/cfg
ADDED
@@ -0,0 +1,13 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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"moves":null,
|
3 |
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"update_with_oracle_cut_size":100,
|
4 |
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"multitasks":[
|
5 |
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|
6 |
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],
|
7 |
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"min_action_freq":30,
|
8 |
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"learn_tokens":false,
|
9 |
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"beam_width":1,
|
10 |
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"beam_density":0.0,
|
11 |
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"beam_update_prob":0.0,
|
12 |
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"incorrect_spans_key":null
|
13 |
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}
|
parser/model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:0551039c2db6e55824227d743a3528e0701338f52be0f7ae65f4735ba897b2ee
|
3 |
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size 1319027
|
parser/moves
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
+
��moves�g{"0":{"":1005986},"1":{"":993034},"2":{"dep":191572,"det":172464,"compound":116830,"amod":107792,"aux":87925,"punct":71439,"advmod":63370,"poss":36438,"mark":27897,"nummod":22632,"auxpass":15623,"prep":14511,"advcl":14266,"neg":12372,"cc":10766,"nmod":9821,"intj":7451,"quantmod":7105,"npadvmod":4626,"dobj":2255,"predet":1947,"parataxis":1845,"dative":1405,"xcomp":1336,"ccomp":888,"preconj":626,"meta":498,"acl":111,"acomp":72,"relcl":59},"3":{"punct":185677,"pobj":182871,"prep":180002,"dobj":115077,"conj":59763,"cc":51736,"xcomp":33910,"advcl":24341,"advmod":22886,"ccomp":21733,"appos":17072,"acomp":16692,"relcl":15302,"case":13383,"acl":12163,"pcomp":10433,"prt":8181,"dative":4369,"amod":3872,"intj":3285,"neg":2833,"nummod":2654,"dep":1979,"parataxis":1263,"npadvmod":637,"nmod":354,"quantmod":319,"meta":89,"preconj":67,"det":51,"mark":33},"4":{"ROOT":212193}}�cfg��neg_key�
|
tagger/cfg
ADDED
@@ -0,0 +1,54 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
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{
|
2 |
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"labels":[
|
3 |
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"$",
|
4 |
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"''",
|
5 |
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",",
|
6 |
+
"-LRB-",
|
7 |
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"-RRB-",
|
8 |
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".",
|
9 |
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":",
|
10 |
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"ADD",
|
11 |
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"AFX",
|
12 |
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"CC",
|
13 |
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"CD",
|
14 |
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"DT",
|
15 |
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"EX",
|
16 |
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"FW",
|
17 |
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"HYPH",
|
18 |
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"IN",
|
19 |
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"JJ",
|
20 |
+
"JJR",
|
21 |
+
"JJS",
|
22 |
+
"LS",
|
23 |
+
"MD",
|
24 |
+
"NFP",
|
25 |
+
"NN",
|
26 |
+
"NNP",
|
27 |
+
"NNPS",
|
28 |
+
"NNS",
|
29 |
+
"PDT",
|
30 |
+
"POS",
|
31 |
+
"PRP",
|
32 |
+
"PRP$",
|
33 |
+
"RB",
|
34 |
+
"RBR",
|
35 |
+
"RBS",
|
36 |
+
"RP",
|
37 |
+
"SYM",
|
38 |
+
"TO",
|
39 |
+
"UH",
|
40 |
+
"VB",
|
41 |
+
"VBD",
|
42 |
+
"VBG",
|
43 |
+
"VBN",
|
44 |
+
"VBP",
|
45 |
+
"VBZ",
|
46 |
+
"VERB",
|
47 |
+
"WDT",
|
48 |
+
"WP",
|
49 |
+
"WP$",
|
50 |
+
"WRB",
|
51 |
+
"XX",
|
52 |
+
"``"
|
53 |
+
]
|
54 |
+
}
|
tagger/model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b137b3df49e3ee8950f899dd34605a38bb4350772d7a4d2ce64c9a327ee21f6d
|
3 |
+
size 205590
|
tokenizer
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
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