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aiola
/
roberta-base-corener

Fill-Mask
Transformers
PyTorch
English
roberta
NER
named entity recognition
RE
relation extraction
entity mention detection
EMD
coreference resolution
Model card Files
xet
 Community
1
roberta-base-corener
File size: 3,218 Bytes
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{
  "_name_or_path": "roberta-base",
  "architectures": [
    "RobertaForMaskedLM"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "corener_config": {
    "cls_token": 0,
    "max_pairs": 1000,
    "ner_classes": 19,
    "pad_token": 1,
    "relation_classes": 5,
    "size_embedding": 25
  },
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "transformers_version": "4.19.2",
  "type_vocab_size": 1,
  "types": {
    "entities": {
      "CARDINAL": {
        "short": "CARDINAL",
        "verbose": "CARDINAL"
      },
      "DATE": {
        "short": "DATE",
        "verbose": "DATE"
      },
      "EVENT": {
        "short": "EVENT",
        "verbose": "EVENT"
      },
      "FAC": {
        "short": "FAC",
        "verbose": "Buildings, airports, highways, bridges"
      },
      "GPE": {
        "short": "GPE",
        "verbose": "Countries, cities, states."
      },
      "LANGUAGE": {
        "short": "LANGUAGE",
        "verbose": "LANGUAGE"
      },
      "LAW": {
        "short": "LAW",
        "verbose": "LAW"
      },
      "LOC": {
        "short": "LOC",
        "verbose": "LOCATION"
      },
      "MONEY": {
        "short": "MONEY",
        "verbose": "MONEY"
      },
      "NORP": {
        "short": "NORP",
        "verbose": "Nationalities or religious or political groups"
      },
      "ORDINAL": {
        "short": "ORDINAL",
        "verbose": "ORDINAL"
      },
      "ORG": {
        "short": "ORG",
        "verbose": "ORGANIZATION"
      },
      "PERCENT": {
        "short": "PERCENT",
        "verbose": "PERCENT"
      },
      "PERSON": {
        "short": "PER",
        "verbose": "PERSON"
      },
      "PRODUCT": {
        "short": "PROD",
        "verbose": "PRODUCT"
      },
      "QUANTITY": {
        "short": "QUANTITY",
        "verbose": "QUANTITY"
      },
      "TIME": {
        "short": "TIME",
        "verbose": "TIME"
      },
      "WORK_OF_ART": {
        "short": "WORK_OF_ART",
        "verbose": "WORK_OF_ART"
      }
    },
    "mentions": {
      "MENTION": {
        "short": "MENTION",
        "verbose": "MENTION"
      }
    },
    "references": {
      "COREF": {
        "short": "COREF",
        "verbose": "COREF"
      }
    },
    "relations": {
      "Kill": {
        "short": "Kill",
        "symmetric": false,
        "verbose": "Kill"
      },
      "Live_In": {
        "short": "Live",
        "symmetric": false,
        "verbose": "Live in"
      },
      "Located_In": {
        "short": "LocIn",
        "symmetric": false,
        "verbose": "Located in"
      },
      "OrgBased_In": {
        "short": "OrgBI",
        "symmetric": false,
        "verbose": "Organization based in"
      },
      "Work_For": {
        "short": "Work",
        "symmetric": false,
        "verbose": "Work for"
      }
    }
  },
  "use_cache": true,
  "vocab_size": 50265
}