| { | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "model_type": "bert", | |
| "attention_probs_dropout_prob": 0.1, | |
| "directionality": "bidi", | |
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| "hidden_act": "gelu", | |
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| "initializer_range": 0.02, | |
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| "0": "LABEL_0", | |
| "1": "LABEL_1", | |
| "2": "LABEL_2", | |
| "3": "LABEL_3" | |
| }, | |
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| "LABEL_2": 2, | |
| "LABEL_3": 3 | |
| }, | |
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| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
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| "num_hidden_layers": 12, | |
| "num_labels": 4, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_past": true, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "pruned_heads": {}, | |
| "torchscript": false, | |
| "type_vocab_size": 2, | |
| "use_bfloat16": false, | |
| "vocab_size": 128000 | |
| } | |