config.json
| 1 | { |
| 2 | "_name_or_path": "cross-encoder/ms-marco-MiniLM-L-12-v2", |
| 3 | "architectures": [ |
| 4 | "BertForSequenceClassification" |
| 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": 384, |
| 11 | "id2label": { |
| 12 | "0": "LABEL_0" |
| 13 | }, |
| 14 | "initializer_range": 0.02, |
| 15 | "intermediate_size": 1536, |
| 16 | "label2id": { |
| 17 | "LABEL_0": 0 |
| 18 | }, |
| 19 | "layer_norm_eps": 1e-12, |
| 20 | "max_position_embeddings": 512, |
| 21 | "model_type": "bert", |
| 22 | "num_attention_heads": 12, |
| 23 | "num_hidden_layers": 6, |
| 24 | "pad_token_id": 0, |
| 25 | "position_embedding_type": "absolute", |
| 26 | "transformers_version": "4.4.2", |
| 27 | "type_vocab_size": 2, |
| 28 | "use_cache": true, |
| 29 | "vocab_size": 30522, |
| 30 | "sbert_ce_default_activation_function": "torch.nn.modules.linear.Identity" |
| 31 | } |
| 32 | |