BERTLaw / config.json
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First version of the BertLaw model and tokenizer.
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{
"_name_or_path": "/content/drive/MyDrive/Colab_data/2020/512_legal_bert_29.10.2020/bert_resource_9_2020/bert_model/pytorch_model",
"architectures": [
"BertForPreTraining"
],
"attention_probs_dropout_prob": 0.1,
"directionality": "bidi",
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"transformers_version": "4.3.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 32000
}