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dependecy_parser_simurg

bert
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dependecy_parser_simurg
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{
  "model_type": "bert",
  "pipeline": [
    "tok2vec",
    "tagger",
    "morphologizer",
    "lemmatizer",
    "parser",
    "ner"
  ],
  "paths": {
    "train": null,
    "dev": null,
    "vectors": "tr_core_news_lg.vectors"
  },
  "training": {
    "train_corpus": null,
    "dev_corpus": null,
    "max_epochs": 10,
    "dropout": 0.1,
    "batch_size": {
      "size": 1000,
      "compounding": true
    }
  },
  "nlp": {
    "lang": "tr",
    "pipeline": [
      "tok2vec",
      "tagger",
      "morphologizer",
      "lemmatizer",
      "parser",
      "ner"
    ]
  },
  "components": {
    "tok2vec": {
      "factory": "tok2vec"
    },
    "tagger": {
      "factory": "tagger"
    },
    "morphologizer": {
      "factory": "morphologizer"
    },
    "lemmatizer": {
      "factory": "lemmatizer"
    },
    "parser": {
      "factory": "parser"
    },
    "ner": {
      "factory": "ner"
    }
  },
  "corpora": {
    "train": {
      "path": "train.spacy"
    },
    "dev": {
      "path": "dev.spacy"
    }
  },
  "pretraining": {
    "path": null,
    "vectors": null,
    "corpus": null,
    "min_count": 0
  },
  "initialize": {
    "vectors": "tr_core_news_lg.vectors",
    "init_tok2vec": null,
    "vocab_data": null,
    "lookups": null
  }
}