Benscott commited on
Commit
857dba1
1 Parent(s): 3f6a643

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ en_adept_ner_trf-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ parser/model filter=lfs diff=lfs merge=lfs -text
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+ tagger/model filter=lfs diff=lfs merge=lfs -text
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+ transformer/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
4
+ - token-classification
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+ language:
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+ - en
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+ model-index:
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+ - name: en_adept_ner_trf
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+ results:
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+ - task:
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+ name: NER
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+ type: token-classification
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+ metrics:
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+ - name: NER Precision
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+ type: precision
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+ value: 0.9736247174
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9758308157
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9747265183
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+ - task:
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+ name: TAG
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+ type: token-classification
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+ metrics:
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+ - name: TAG (XPOS) Accuracy
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+ type: accuracy
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+ value: 0.0
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+ - task:
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+ name: LEMMA
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+ type: token-classification
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+ metrics:
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+ - name: Lemma Accuracy
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+ type: accuracy
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+ value: 0.0
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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 Attachment Score (UAS)
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+ type: f_score
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+ value: 0.0
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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 Attachment Score (LAS)
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+ type: f_score
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+ value: 0.0
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+ - task:
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+ name: SENTS
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+ type: token-classification
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+ metrics:
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+ - name: Sentences F-Score
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+ type: f_score
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+ value: 0.0
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+ ---
attribute_ruler/patterns ADDED
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components.py ADDED
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+
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+
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+ from adept.components.registry import *
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+
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+
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+
config.cfg ADDED
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+ [paths]
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+ train = "corpus/train_numeric.spacy"
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+ dev = "corpus/val_numeric.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+ trf_model = "en_core_web_trf"
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+
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+ [system]
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+ gpu_allocator = "pytorch"
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["sentencizer","transformer","tagger","parser","attribute_ruler","lemmatizer","ner"]
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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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+
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+ [components]
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+
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+ [components.attribute_ruler]
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+ factory = "attribute_ruler"
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+ scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
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+ validate = false
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+
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+ [components.lemmatizer]
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+ factory = "lemmatizer"
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+ mode = "rule"
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+ model = null
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+ overwrite = false
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+ scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
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+
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+ [components.ner]
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+ factory = "ner"
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+ incorrect_spans_key = null
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+ moves = null
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+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = false
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+ nO = null
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+
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+ [components.ner.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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+
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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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+ scorer = {"@scorers":"spacy.parser_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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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 = 64
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+ maxout_pieces = 2
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+ use_upper = false
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+ nO = null
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+
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+ [components.parser.model.tok2vec]
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+ @architectures = "spacy-transformers.Tok2VecTransformer.v3"
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+ name = "roberta-base"
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+ mixed_precision = false
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+ pooling = {"@layers":"reduce_mean.v1"}
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+ grad_factor = 1.0
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+
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+ [components.parser.model.tok2vec.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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+
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+ [components.parser.model.tok2vec.grad_scaler_config]
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+
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+ [components.parser.model.tok2vec.tokenizer_config]
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+ use_fast = true
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+
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+ [components.parser.model.tok2vec.transformer_config]
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+
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+ [components.sentencizer]
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+ factory = "semicolon_sentencizer"
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+
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+ [components.tagger]
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+ factory = "tagger"
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+ neg_prefix = "!"
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+ overwrite = false
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+ scorer = {"@scorers":"spacy.tagger_scorer.v1"}
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+
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+ [components.tagger.model]
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+ @architectures = "spacy.Tagger.v2"
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+ nO = null
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+ normalize = false
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+
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+ [components.tagger.model.tok2vec]
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+ @architectures = "spacy-transformers.Tok2VecTransformer.v3"
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+ name = "roberta-base"
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+ mixed_precision = false
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+ pooling = {"@layers":"reduce_mean.v1"}
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+ grad_factor = 1.0
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+
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+ [components.tagger.model.tok2vec.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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+
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+ [components.tagger.model.tok2vec.grad_scaler_config]
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+
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+ [components.tagger.model.tok2vec.tokenizer_config]
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+ use_fast = true
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+
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+ [components.tagger.model.tok2vec.transformer_config]
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+
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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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+
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+ [components.transformer.model]
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+ @architectures = "spacy-transformers.TransformerModel.v3"
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+ name = "roberta-base"
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+ mixed_precision = false
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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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+ stride = 96
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+
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+ [components.transformer.model.grad_scaler_config]
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+
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+ [components.transformer.model.tokenizer_config]
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+ use_fast = true
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+
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+ [components.transformer.model.transformer_config]
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+
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+ [corpora]
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+
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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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+ gold_preproc = false
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+ augmenter = null
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+
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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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+ annotating_components = []
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+ frozen_components = []
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+
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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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+
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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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+
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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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+
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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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+
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+ [training.score_weights]
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+ tag_acc = 0.25
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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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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+
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+ [initialize.tokenizer]
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