{
    "paths": {
        "train": "null",
        "dev": "null",
        "vectors": "null",
        "init_tok2vec": "null"
    },
    "system": {
        "gpu_allocator": "\"pytorch\"",
        "seed": "1"
    },
    "nlp": {
        "lang": "\"zh\"",
        "pipeline": "[\"transformer\",\"tagger\",\"parser\",\"attribute_ruler\",\"ner\"]",
        "disabled": "[]",
        "before_creation": "null",
        "after_creation": "null",
        "after_pipeline_creation": "null",
        "batch_size": "64",
        "vectors": "{\"@vectors\":\"spacy.Vectors.v1\"}"
    },
    "nlp.tokenizer": {
        "@tokenizers": "\"spacy.zh.ChineseTokenizer\"",
        "segmenter": "\"pkuseg\""
    },
    "components": {},
    "components.attribute_ruler": {
        "factory": "\"attribute_ruler\"",
        "scorer": "{\"@scorers\":\"spacy.attribute_ruler_scorer.v1\"}",
        "validate": "false"
    },
    "components.ner": {
        "factory": "\"ner\"",
        "incorrect_spans_key": "null",
        "moves": "null",
        "scorer": "{\"@scorers\":\"spacy.ner_scorer.v1\"}",
        "update_with_oracle_cut_size": "100"
    },
    "components.ner.model": {
        "@architectures": "\"spacy.TransitionBasedParser.v2\"",
        "state_type": "\"ner\"",
        "extra_state_tokens": "false",
        "hidden_width": "64",
        "maxout_pieces": "2",
        "use_upper": "false",
        "no": "null"
    },
    "components.ner.model.tok2vec": {
        "@architectures": "\"spacy-curated-transformers.LastTransformerLayerListener.v1\"",
        "width": "${components.transformer.model.hidden_width}",
        "upstream": "\"transformer\"",
        "pooling": "{\"@layers\":\"reduce_mean.v1\"}",
        "grad_factor": "1.0"
    },
    "components.parser": {
        "factory": "\"parser\"",
        "learn_tokens": "false",
        "min_action_freq": "30",
        "moves": "null",
        "scorer": "{\"@scorers\":\"spacy.parser_scorer.v1\"}",
        "update_with_oracle_cut_size": "100"
    },
    "components.parser.model": {
        "@architectures": "\"spacy.TransitionBasedParser.v2\"",
        "state_type": "\"parser\"",
        "extra_state_tokens": "false",
        "hidden_width": "64",
        "maxout_pieces": "2",
        "use_upper": "false",
        "no": "null"
    },
    "components.parser.model.tok2vec": {
        "@architectures": "\"spacy-curated-transformers.LastTransformerLayerListener.v1\"",
        "width": "${components.transformer.model.hidden_width}",
        "upstream": "\"transformer\"",
        "pooling": "{\"@layers\":\"reduce_mean.v1\"}",
        "grad_factor": "1.0"
    },
    "components.tagger": {
        "factory": "\"tagger\"",
        "label_smoothing": "0.0",
        "neg_prefix": "\"!\"",
        "overwrite": "false",
        "scorer": "{\"@scorers\":\"spacy.tagger_scorer.v1\"}"
    },
    "components.tagger.model": {
        "@architectures": "\"spacy.Tagger.v2\"",
        "no": "null",
        "normalize": "false"
    },
    "components.tagger.model.tok2vec": {
        "@architectures": "\"spacy-curated-transformers.LastTransformerLayerListener.v1\"",
        "width": "${components.transformer.model.hidden_width}",
        "upstream": "\"transformer\"",
        "pooling": "{\"@layers\":\"reduce_mean.v1\"}",
        "grad_factor": "1.0"
    },
    "components.transformer": {
        "factory": "\"curated_transformer\"",
        "all_layer_outputs": "false",
        "frozen": "false"
    },
    "components.transformer.model": {
        "@architectures": "\"spacy-curated-transformers.BertTransformer.v1\"",
        "vocab_size": "21128",
        "hidden_width": "768",
        "piece_encoder": "{\"@architectures\":\"spacy-curated-transformers.BertWordpieceEncoder.v1\"}",
        "attention_probs_dropout_prob": "0.1",
        "hidden_act": "\"gelu\"",
        "hidden_dropout_prob": "0.1",
        "intermediate_width": "3072",
        "layer_norm_eps": "0.0",
        "max_position_embeddings": "512",
        "model_max_length": "512",
        "num_attention_heads": "12",
        "num_hidden_layers": "12",
        "padding_idx": "0",
        "type_vocab_size": "2",
        "torchscript": "false",
        "mixed_precision": "false",
        "wrapped_listener": "null"
    },
    "components.transformer.model.grad_scaler_config": {},
    "components.transformer.model.with_spans": {
        "@architectures": "\"spacy-curated-transformers.WithStridedSpans.v1\"",
        "stride": "152",
        "window": "208",
        "batch_size": "384"
    },
    "corpora": {},
    "corpora.dev": {
        "@readers": "\"spacy.Corpus.v1\"",
        "path": "${paths.dev}",
        "gold_preproc": "false",
        "max_length": "0",
        "limit": "0",
        "augmenter": "null"
    },
    "corpora.train": {
        "@readers": "\"spacy.Corpus.v1\"",
        "path": "${paths.train}",
        "gold_preproc": "false",
        "max_length": "0",
        "limit": "0",
        "augmenter": "null"
    },
    "model_type": "bert"
    ,
    "training": {
        "train_corpus": "\"corpora.train\"",
        "dev_corpus": "\"corpora.dev\"",
        "seed": "${system:seed}",
        "gpu_allocator": "${system:gpu_allocator}",
        "dropout": "0.1",
        "accumulate_gradient": "3",
        "patience": "5000",
        "max_epochs": "0",
        "max_steps": "20000",
        "eval_frequency": "1000",
        "frozen_components": "[]",
        "before_to_disk": "null",
        "annotating_components": "[]",
        "before_update": "null"
    },
    "training.batcher": {
        "@batchers": "\"spacy.batch_by_words.v1\"",
        "discard_oversize": "false",
        "size": "2000",
        "tolerance": "0.2",
        "get_length": "null"
    },
    "training.logger": {
        "@loggers": "\"spacy.ConsoleLogger.v1\"",
        "progress_bar": "false"
    },
    "training.optimizer": {
        "@optimizers": "\"Adam.v1\"",
        "beta1": "0.9",
        "beta2": "0.999",
        "l2_is_weight_decay": "true",
        "l2": "0.01",
        "grad_clip": "1.0",
        "use_averages": "true",
        "eps": "0.00000001"
    },
    "training.optimizer.learn_rate": {
        "@schedules": "\"warmup_linear.v1\"",
        "warmup_steps": "250",
        "total_steps": "20000",
        "initial_rate": "0.00005"
    },
    "training.score_weights": {
        "tag_acc": "0.32",
        "dep_uas": "0.0",
        "dep_las": "0.32",
        "dep_las_per_type": "null",
        "sents_p": "null",
        "sents_r": "null",
        "sents_f": "0.04",
        "ents_f": "0.32",
        "ents_p": "0.0",
        "ents_r": "0.0",
        "ents_per_type": "null",
        "speed": "0.0"
    },
    "pretraining": {},
    "initialize": {
        "vocab_data": "null",
        "vectors": "${paths.vectors}",
        "init_tok2vec": "${paths.init_tok2vec}",
        "before_init": "null",
        "after_init": "null"
    },
    "initialize.components": {},
    "initialize.components.ner": {},
    "initialize.components.ner.labels": {
        "@readers": "\"spacy.read_labels.v1\"",
        "path": "\"corpus/labels/ner.json\"",
        "require": "false"
    },
    "initialize.components.parser": {},
    "initialize.components.parser.labels": {
        "@readers": "\"spacy.read_labels.v1\"",
        "path": "\"corpus/labels/parser.json\"",
        "require": "false"
    },
    "initialize.components.tagger": {},
    "initialize.components.tagger.labels": {
        "@readers": "\"spacy.read_labels.v1\"",
        "path": "\"corpus/labels/tagger.json\"",
        "require": "false"
    },
    "initialize.components.transformer": {},
    "initialize.components.transformer.encoder_loader": {
        "@model_loaders": "\"spacy-curated-transformers.HFTransformerEncoderLoader.v1\"",
        "name": "\"bert-base-chinese\"",
        "revision": "\"main\""
    },
    "initialize.components.transformer.piecer_loader": {
        "@model_loaders": "\"spacy-curated-transformers.HFPieceEncoderLoader.v1\"",
        "name": "\"bert-base-chinese\"",
        "revision": "\"main\""
    },
    "initialize.lookups": {
        "@misc": "\"spacy.LookupsDataLoader.v1\"",
        "lang": "${nlp.lang}",
        "tables": "[]"
    },
    "initialize.tokenizer": {
        "pkuseg_model": "\"assets/pkuseg_model\"",
        "pkuseg_user_dict": "\"default\""
    }
}