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Update custom_ner_model26-2git including iteration_data.json
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| [paths] | ||
| train = null | ||
| dev = null | ||
| vectors = null | ||
| init_tok2vec = null | ||
|
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||
| [system] | ||
| seed = 0 | ||
| gpu_allocator = null | ||
|
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| [nlp] | ||
| lang = "he" | ||
| pipeline = ["ner"] | ||
| disabled = [] | ||
| before_creation = null | ||
| after_creation = null | ||
| after_pipeline_creation = null | ||
| batch_size = 1000 | ||
| tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} | ||
| vectors = {"@vectors":"spacy.Vectors.v1"} | ||
|
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| [components] | ||
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| [components.ner] | ||
| factory = "ner" | ||
| incorrect_spans_key = null | ||
| moves = null | ||
| scorer = {"@scorers":"spacy.ner_scorer.v1"} | ||
| update_with_oracle_cut_size = 100 | ||
|
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| [components.ner.model] | ||
| @architectures = "spacy.TransitionBasedParser.v2" | ||
| state_type = "ner" | ||
| extra_state_tokens = false | ||
| hidden_width = 64 | ||
| maxout_pieces = 2 | ||
| use_upper = true | ||
| nO = null | ||
|
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| [components.ner.model.tok2vec] | ||
| @architectures = "spacy.HashEmbedCNN.v2" | ||
| pretrained_vectors = null | ||
| width = 96 | ||
| depth = 4 | ||
| embed_size = 2000 | ||
| window_size = 1 | ||
| maxout_pieces = 3 | ||
| subword_features = true | ||
|
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| [corpora] | ||
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| [corpora.dev] | ||
| @readers = "spacy.Corpus.v1" | ||
| path = ${paths.dev} | ||
| gold_preproc = false | ||
| max_length = 0 | ||
| limit = 0 | ||
| augmenter = null | ||
|
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| [corpora.train] | ||
| @readers = "spacy.Corpus.v1" | ||
| path = ${paths.train} | ||
| gold_preproc = false | ||
| max_length = 0 | ||
| limit = 0 | ||
| augmenter = null | ||
|
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| [training] | ||
| seed = ${system.seed} | ||
| gpu_allocator = ${system.gpu_allocator} | ||
| dropout = 0.1 | ||
| accumulate_gradient = 1 | ||
| patience = 1600 | ||
| max_epochs = 0 | ||
| max_steps = 20000 | ||
| eval_frequency = 200 | ||
| frozen_components = [] | ||
| annotating_components = [] | ||
| dev_corpus = "corpora.dev" | ||
| train_corpus = "corpora.train" | ||
| before_to_disk = null | ||
| before_update = null | ||
|
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| [training.batcher] | ||
| @batchers = "spacy.batch_by_words.v1" | ||
| discard_oversize = false | ||
| tolerance = 0.2 | ||
| get_length = null | ||
|
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| [training.batcher.size] | ||
| @schedules = "compounding.v1" | ||
| start = 100 | ||
| stop = 1000 | ||
| compound = 1.001 | ||
| t = 0.0 | ||
|
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| [training.logger] | ||
| @loggers = "spacy.ConsoleLogger.v1" | ||
| progress_bar = false | ||
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| [training.optimizer] | ||
| @optimizers = "Adam.v1" | ||
| beta1 = 0.9 | ||
| beta2 = 0.999 | ||
| L2_is_weight_decay = true | ||
| L2 = 0.01 | ||
| grad_clip = 1.0 | ||
| use_averages = false | ||
| eps = 0.00000001 | ||
| learn_rate = 0.001 | ||
|
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| [training.score_weights] | ||
| ents_f = 1.0 | ||
| ents_p = 0.0 | ||
| ents_r = 0.0 | ||
| ents_per_type = null | ||
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| [pretraining] | ||
|
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| [initialize] | ||
| vectors = ${paths.vectors} | ||
| init_tok2vec = ${paths.init_tok2vec} | ||
| vocab_data = null | ||
| lookups = null | ||
| before_init = null | ||
| after_init = null | ||
|
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| [initialize.components] | ||
|
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| [initialize.tokenizer] |
191 changes: 191 additions & 0 deletions
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machine-learn/custom_ner_model26-2git/iteration_data.json
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| { | ||
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| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,40 @@ | ||
| { | ||
| "lang":"he", | ||
| "name":"singer_ner_he", | ||
| "version":"0.0.0", | ||
| "spacy_version":">=3.7.5,<3.8.0", | ||
| "description":"Model for recognizing singer names in Hebrew song titles", | ||
| "author":"nhlocal", | ||
| "email":"[email protected]", | ||
| "url":"", | ||
| "license":"MIT", | ||
| "spacy_git_version":"a6d0fc360", | ||
| "vectors":{ | ||
| "width":0, | ||
| "vectors":0, | ||
| "keys":0, | ||
| "name":null, | ||
| "mode":"default" | ||
| }, | ||
| "labels":{ | ||
| "ner":[ | ||
| "SINGER" | ||
| ] | ||
| }, | ||
| "pipeline":[ | ||
| "ner" | ||
| ], | ||
| "components":[ | ||
| "ner" | ||
| ], | ||
| "disabled":[ | ||
|
|
||
| ], | ||
| "tags":[ | ||
| "NER", | ||
| "Hebrew", | ||
| "Singer", | ||
| "Named Entity Recognition", | ||
| "Text Classification" | ||
| ] | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,13 @@ | ||
| { | ||
| "moves":null, | ||
| "update_with_oracle_cut_size":100, | ||
| "multitasks":[ | ||
|
|
||
| ], | ||
| "min_action_freq":1, | ||
| "learn_tokens":false, | ||
| "beam_width":1, | ||
| "beam_density":0.0, | ||
| "beam_update_prob":0.0, | ||
| "incorrect_spans_key":null | ||
| } |
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| @@ -0,0 +1 @@ | ||
| ��moves�`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}�cfg��neg_key� |
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