qianjiaying/simcse-tinybert

1{2  "_name_or_path": "cross-encoder/ms-marco-TinyBERT-L-2-v2",3  "architectures": [4    "BertModel"5  ],6  "attention_probs_dropout_prob": 0.1,7  "gradient_checkpointing": false,8  "hidden_act": "gelu",9  "hidden_dropout_prob": 0.1,10  "hidden_size": 128,11  "id2label": {12    "0": "LABEL_0"13  },14  "initializer_range": 0.02,15  "intermediate_size": 512,16  "label2id": {17    "LABEL_0": 018  },19  "layer_norm_eps": 1e-12,20  "max_position_embeddings": 512,21  "model_type": "bert",22  "num_attention_heads": 2,23  "num_hidden_layers": 2,24  "pad_token_id": 0,25  "position_embedding_type": "absolute",26  "sbert_ce_default_activation_function": "torch.nn.modules.linear.Identity",27  "transformers_version": "4.2.1",28  "type_vocab_size": 2,29  "use_cache": true,30  "vocab_size": 3052231}32