| { | |
| "_name_or_path": "./pretrain_models/deberta-pretrain/pytorch_model.bin", | |
| "architectures": [ | |
| "BertSoftmaxForNer" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "conv_act": "gelu", | |
| "conv_kernel_size": 3, | |
| "hidden_act": "gelu", | |
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| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3", | |
| "4": "LABEL_4", | |
| "5": "LABEL_5", | |
| "6": "LABEL_6", | |
| "7": "LABEL_7" | |
| }, | |
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| "intermediate_size": 3072, | |
| "label2id": { | |
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| "LABEL_2": 2, | |
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| "LABEL_4": 4, | |
| "LABEL_5": 5, | |
| "LABEL_6": 6, | |
| "LABEL_7": 7 | |
| }, | |
| "layer_norm_eps": 1e-07, | |
| "loss_type": "lsr", | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": -1, | |
| "model_type": "deberta-v2", | |
| "norm_rel_ebd": "layer_norm", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "pooler_dropout": 0, | |
| "pooler_hidden_act": "gelu", | |
| "pooler_hidden_size": 768, | |
| "pos_att_type": [ | |
| "c2p", | |
| "p2c" | |
| ], | |
| "position_biased_input": false, | |
| "position_buckets": 256, | |
| "relative_attention": true, | |
| "share_att_key": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.9.2", | |
| "type_vocab_size": 0, | |
| "vocab_size": 12800 | |
| } | |