add model

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/tapas-base",
+  "_name_or_path": "google/tapas-large-finetuned-sqa",
   "aggregation_labels": null,
   "aggregation_loss_weight": 1.0,
   "aggregation_temperature": 1.0,
@@ -9,19 +9,19 @@
   "architectures": [
     "TapasForQuestionAnswering"
   ],
-  "attention_probs_dropout_prob": 0.0,
+  "attention_probs_dropout_prob": 0.1,
   "average_approximation_function": "ratio",
   "average_logits_per_cell": false,
   "cell_selection_preference": null,
   "disable_per_token_loss": false,
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.07,
-  "hidden_size": 768,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
   "huber_loss_delta": null,
   "init_cell_selection_weights_to_zero": false,
   "initializer_range": 0.02,
-  "intermediate_size": 3072,
+  "intermediate_size": 4096,
   "layer_norm_eps": 1e-12,
   "max_num_columns": 32,
   "max_num_rows": 64,
@@ -29,15 +29,15 @@
   "model_type": "tapas",
   "no_aggregation_label_index": null,
   "num_aggregation_labels": 0,
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
   "pad_token_id": 0,
   "positive_label_weight": 10.0,
   "reset_position_index_per_cell": true,
   "select_one_column": true,
   "softmax_temperature": 1.0,
   "torch_dtype": "float32",
-  "transformers_version": "4.14.0.dev0",
+  "transformers_version": "4.16.0.dev0",
   "type_vocab_size": [
     3,
     256,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 442782088
+oid sha256:a4a4aaf5073da6d0d71ca67a4f9f6fc7398b8e88dcef8b94ae86d3fe082b7374
+size 1347091016