Upload TFTapasForQuestionAnswering

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: my-awesome-model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# my-awesome-model
+
+This model is a fine-tuned version of [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq) on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- TensorFlow 2.9.2
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "google/tapas-base-finetuned-wtq",
+  "aggregation_labels": {
+    "0": "NONE",
+    "1": "SUM",
+    "2": "AVERAGE",
+    "3": "COUNT"
+  },
+  "aggregation_loss_weight": 1.0,
+  "aggregation_temperature": 1.0,
+  "allow_empty_column_selection": false,
+  "answer_loss_cutoff": 0.664694,
+  "answer_loss_importance": 1.0,
+  "architectures": [
+    "TapasForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "average_approximation_function": "ratio",
+  "average_logits_per_cell": false,
+  "cell_selection_preference": 0.207951,
+  "disable_per_token_loss": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "huber_loss_delta": 0.121194,
+  "init_cell_selection_weights_to_zero": true,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_num_columns": 32,
+  "max_num_rows": 64,
+  "max_position_embeddings": 1024,
+  "model_type": "tapas",
+  "no_aggregation_label_index": 0,
+  "num_aggregation_labels": 4,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "positive_label_weight": 10.0,
+  "reset_position_index_per_cell": true,
+  "select_one_column": true,
+  "softmax_temperature": 1.0,
+  "temperature": 0.0352513,
+  "transformers_version": "4.25.1",
+  "type_vocab_size": [
+    3,
+    256,
+    256,
+    2,
+    256,
+    256,
+    10
+  ],
+  "type_vocab_sizes": [
+    3,
+    256,
+    256,
+    2,
+    256,
+    256,
+    10
+  ],
+  "use_answer_as_supervision": true,
+  "use_gumbel_for_aggregation": false,
+  "use_gumbel_for_cells": false,
+  "use_normalized_answer_loss": false,
+  "vocab_size": 30522
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fe28b90325c7bc74534431375095e4e0e9fac622c720cfe5246fb0ec270025fe
+size 443010576