Update config.json
Browse files- config.json +5 -16
config.json
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@@ -3,40 +3,29 @@
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"AlbertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"
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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 4096,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 16384,
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"is_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-12,
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"layers_to_keep": [],
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"max_position_embeddings": 512,
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"net_structure_type": 0,
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"num_attention_heads": 64,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_labels": 2,
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"num_memory_blocks": 0,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"
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"torchscript": false,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 30000
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}
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"AlbertForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 16384,
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"layer_norm_eps": 1e-12,
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"layers_to_keep": [],
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 64,
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"num_hidden_groups": 1,
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"num_hidden_layers": 12,
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"num_memory_blocks": 0,
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"output_past": true,
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"pad_token_id": 0,
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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