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config.json ADDED
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+ {
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+ "aggregation_loss_weight": 1.0,
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+ "aggregation_temperature": 1.0,
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+ "allow_empty_column_selection": false,
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+ "answer_loss_cutoff": null,
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+ "answer_loss_importance": 1.0,
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+ "architectures": [
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+ "TapasModel"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "average_approximation_function": "ratio",
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+ "average_logits_per_cell": false,
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+ "cell_selection_preference": null,
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+ "disable_per_token_loss": false,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.07,
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+ "hidden_size": 512,
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+ "huber_loss_delta": null,
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+ "init_cell_selection_weights_to_zero": false,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 2048,
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+ "layer_norm_eps": 1e-12,
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+ "max_num_columns": 32,
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+ "max_num_rows": 64,
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+ "max_position_embeddings": 512,
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+ "model_type": "tapas",
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+ "num_aggregation_labels": 0,
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 4,
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+ "pad_token_id": 0,
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+ "positive_label_weight": 10.0,
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+ "reset_position_index_per_cell": true,
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+ "select_one_column": true,
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+ "softmax_temperature": 1.0,
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+ "type_vocab_size": [
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+ 3,
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+ 256,
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+ 256,
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+ 2,
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+ 256,
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+ 256,
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+ 10
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+ ],
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+ "type_vocab_sizes": [
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+ 3,
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+ 256,
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+ 10
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+ ],
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+ "use_answer_as_supervision": null,
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+ "use_gumbel_for_aggregation": false,
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+ "use_gumbel_for_cells": false,
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+ "use_normalized_answer_loss": false,
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+ "vocab_size": 30522
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+ }
pytorch_model.bin ADDED
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special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "additional_special_tokens": ["[EMPTY]"]}
tokenizer_config.json ADDED
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+ {"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "empty_token": "[EMPTY]", "tokenize_chinese_chars": true, "strip_accents": null, "cell_trim_length": -1, "max_column_id": null, "max_row_id": null, "strip_column_names": false, "update_answer_coordinates": false, "drop_rows_to_fit": false, "model_max_length": 512, "additional_special_tokens": ["[EMPTY]"]}
vocab.txt ADDED
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