add model
Browse files- config.json +70 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "google/tapas-base-finetuned-wtq",
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"aggregation_labels": {
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"0": "NONE",
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"1": "SUM",
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"2": "AVERAGE",
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"3": "COUNT"
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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": 0.664694,
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"answer_loss_importance": 1.0,
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"architectures": [
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"TapasForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"average_approximation_function": "ratio",
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"average_logits_per_cell": false,
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"cell_selection_preference": 0.207951,
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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": 0.1,
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"hidden_size": 768,
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"huber_loss_delta": 0.121194,
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"init_cell_selection_weights_to_zero": true,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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": 1024,
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"model_type": "tapas",
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"no_aggregation_label_index": 0,
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"num_aggregation_labels": 4,
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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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"temperature": 0.0352513,
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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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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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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"use_answer_as_supervision": true,
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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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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c913e68121e5d137d5a356154c5f016ce6835d153a452d49c241e97a2b7b267
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size 442773019
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