markuplmForNER / config.json
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{
"_name_or_path": "microsoft/markuplm-base",
"architectures": [
"MarkupLMForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "title",
"1": "author",
"2": "date",
"3": "body",
"4": "topic",
"5": "source",
"6": "other"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"author": 1,
"body": 3,
"date": 2,
"other": 6,
"source": 5,
"title": 0,
"topic": 4
},
"layer_norm_eps": 1e-05,
"max_depth": 50,
"max_position_embeddings": 514,
"max_xpath_subs_unit_embeddings": 1024,
"max_xpath_tag_unit_embeddings": 256,
"model_type": "markuplm",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"subs_pad_id": 1001,
"tag_pad_id": 216,
"torch_dtype": "float32",
"transformers_version": "4.29.0.dev0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50267,
"xpath_unit_hidden_size": 32
}