| { | |
| "_name_or_path": "AutoNLP", | |
| "_num_labels": 32, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "directionality": "bidi", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
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| "3": "\u4f20\u5a92", | |
| "4": "\u4fe1\u606f\u6280\u672f", | |
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| "6": "\u519c\u4e1a", | |
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| "9": "\u5546\u4e1a\u8d38\u6613", | |
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| "11": "\u5bb6\u7528\u7535\u5668", | |
| "12": "\u5efa\u7b51\u4e1a", | |
| "13": "\u623f\u5730\u4ea7", | |
| "14": "\u6559\u80b2", | |
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| "16": "\u6709\u8272\u91d1\u5c5e", | |
| "17": "\u673a\u68b0\u88c5\u5907\u5236\u9020", | |
| "18": "\u6797\u4e1a", | |
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| "31": "\u98df\u54c1\u996e\u6599" | |
| }, | |
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| "intermediate_size": 3072, | |
| "label2id": { | |
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| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_length": 64, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "padding": "max_length", | |
| "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", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.15.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 21128 | |
| } | |