hjianganthony commited on
Commit
92e2ad6
1 Parent(s): edeaa2e

Update spaCy pipeline

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ 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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  *.zst 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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_fetch_ner_spacy_tsf-any-py3-none-any.whl 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 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_fetch_ner_spacy_tsf
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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: 0.9090909091
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9210526316
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9150326797
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_fetch_ner_spacy_tsf` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.6.1,<3.7.0` |
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+ | **Default Pipeline** | `transformer`, `ner` |
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+ | **Components** | `transformer`, `ner` |
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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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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (2 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `BRAND`, `RETAILER` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `ENTS_F` | 91.50 |
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+ | `ENTS_P` | 90.91 |
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+ | `ENTS_R` | 92.11 |
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+ | `TRANSFORMER_LOSS` | 0.00 |
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+ | `NER_LOSS` | 3789.17 |
config.cfg ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "corpus/train.spacy"
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+ dev = "corpus/dev.spacy"
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+ vectors = null
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+ init_tok2vec = null
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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 = ["transformer","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.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.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 = "dslim/bert-base-NER"
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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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+ window = 128
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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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+ 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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+ [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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+ before_update = null
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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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+ ents_f = 1.0
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+ ents_p = 0.0
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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]
en_fetch_ner_spacy_tsf-any-py3-none-any.whl ADDED
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meta.json ADDED
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+ {
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+ "lang":"en",
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+ "name":"fetch_ner_spacy_tsf",
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+ "version":"0.0.0",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_version":">=3.6.1,<3.7.0",
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+ "spacy_git_version":"458bc5f45",
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+ "vectors":{
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+ "name":null
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+ "labels":{
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+ "transformer":[
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+
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+ ],
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+ "ner":[
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+ "BRAND",
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+ "RETAILER"
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+ ]
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+ },
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+ "pipeline":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "components":[
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+ "transformer",
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+ "ner"
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+ ],
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+ "disabled":[
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+ ],
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+ "performance":{
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+ "ents_f":0.9150326797,
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+ "ents_p":0.9090909091,
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+ "ents_r":0.9210526316,
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+ "ents_per_type":{
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+ "BRAND":{
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+ "p":0.9122807018,
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+ "r":0.9285714286,
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+ "f":0.9203539823
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+ },
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+ "RETAILER":{
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+ "p":0.9,
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+ "r":0.9,
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+ "f":0.9
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+ }
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+ },
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+ "transformer_loss":0.0000000205,
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+ "ner_loss":37.8916693478
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+ },
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+ "requirements":[
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+ "spacy-transformers>=1.3.2,<1.4.0"
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+ ]
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+ }
ner/cfg ADDED
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+ {
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+ "moves":null,
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+ "multitasks":[
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+ "min_action_freq":1,
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+ "learn_tokens":false,
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+ "beam_density":0.0,
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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+ }
ner/model ADDED
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2361
+ "\u00af",
2362
+ "\u00af\\(x)/\u00af",
2363
+ "\u00af\\(\u30c4)/\u00af",
2364
+ "\u00b0",
2365
+ "\u00b0C.",
2366
+ "\u00b0F.",
2367
+ "\u00b0K.",
2368
+ "\u00b0X.",
2369
+ "\u00b0c.",
2370
+ "\u00b0f.",
2371
+ "\u00b0k.",
2372
+ "\u00b0x.",
2373
+ "\u00e4",
2374
+ "\u00e4.",
2375
+ "\u00f6",
2376
+ "\u00f6.",
2377
+ "\u00fc",
2378
+ "\u00fc.",
2379
+ "\u0ca0",
2380
+ "\u0ca0_\u0ca0",
2381
+ "\u0ca0\ufe35\u0ca0",
2382
+ "\u2014",
2383
+ "\u2018",
2384
+ "\u2018S",
2385
+ "\u2018X",
2386
+ "\u2018s",
2387
+ "\u2018x",
2388
+ "\u2019",
2389
+ "\u2019-(",
2390
+ "\u2019-)",
2391
+ "\u2019Cause",
2392
+ "\u2019Cos",
2393
+ "\u2019Coz",
2394
+ "\u2019Cuz",
2395
+ "\u2019S",
2396
+ "\u2019X",
2397
+ "\u2019Xxx",
2398
+ "\u2019Xxxxx",
2399
+ "\u2019am",
2400
+ "\u2019bout",
2401
+ "\u2019cause",
2402
+ "\u2019cos",
2403
+ "\u2019coz",
2404
+ "\u2019cuz",
2405
+ "\u2019d",
2406
+ "\u2019em",
2407
+ "\u2019ll",
2408
+ "\u2019m",
2409
+ "\u2019nuff",
2410
+ "\u2019re",
2411
+ "\u2019s",
2412
+ "\u2019ve",
2413
+ "\u2019x",
2414
+ "\u2019xx",
2415
+ "\u2019xxx",
2416
+ "\u2019xxxx",
2417
+ "\u2019y",
2418
+ "\u2019\u2019",
2419
+ "\u2501",
2420
+ "\u253b",
2421
+ "\u253b\u2501\u253b",
2422
+ "\u256f",
2423
+ "\u25a1",
2424
+ "\ufe35",
2425
+ "\uff09"
2426
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }