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{
"model_name": "industry-bert-contracts-v0.1",
"description": "Sentence transformer embedding model finetuned on wide range of commercial contracts and related legal materials",
"_name_or_path": "bert-base-uncased",
"architectures": [
"BertModel"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"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,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
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