README.md

@@ -2,10 +2,10 @@
 language: en
 tags:
 - tapas
-- table-question-answering
+- question-answering
 license: apache-2.0
 datasets:
-- msr_sqa
+- sqa
 ---
 
 # TAPAS base model fine-tuned on Sequential Question Answering (SQA)
@@ -19,23 +19,6 @@ The other (non-default) version which can be used is:
 Disclaimer: The team releasing TAPAS did not write a model card for this model so this model card has been written by
 the Hugging Face team and contributors.
 
-## Results on SQA - Dev Accuracy
-
-Size     |  Reset  | Dev Accuracy | Link
--------- | --------| -------- | ----
-LARGE | noreset | 0.7223 | [tapas-large-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-large-finetuned-sqa/tree/no_reset)
-LARGE | reset | 0.7289 | [tapas-large-finetuned-sqa](https://huggingface.co/google/tapas-large-finetuned-sqa/tree/main)
-**BASE** | **noreset** | **0.6737** | [tapas-base-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-base-finetuned-sqa/tree/no_reset)
-**BASE** | **reset** | **0.6874** | [tapas-base-finetuned-sqa](https://huggingface.co/google/tapas-base-finetuned-sqa/tree/main)
-MEDIUM | noreset | 0.6464 | [tapas-medium-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-medium-finetuned-sqa/tree/no_reset)
-MEDIUM | reset | 0.6561 | [tapas-medium-finetuned-sqa](https://huggingface.co/google/tapas-medium-finetuned-sqa/tree/main)
-SMALL | noreset | 0.5876 | [tapas-small-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-small-finetuned-sqa/tree/no_reset)
-SMALL | reset | 0.6155 | [tapas-small-finetuned-sqa](https://huggingface.co/google/tapas-small-finetuned-sqa/tree/main)
-MINI | noreset | 0.4574 | [tapas-mini-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-mini-finetuned-sqa/tree/no_reset)
-MINI | reset | 0.5148 | [tapas-mini-finetuned-sqa](https://huggingface.co/google/tapas-mini-finetuned-sqa/tree/main))
-TINY | noreset | 0.2004 | [tapas-tiny-finetuned-sqa (absolute pos embeddings)](https://huggingface.co/google/tapas-tiny-finetuned-sqa/tree/no_reset)
-TINY | reset | 0.2375 | [tapas-tiny-finetuned-sqa](https://huggingface.co/google/tapas-tiny-finetuned-sqa/tree/main)
-
 ## Model description
 
 TAPAS is a BERT-like transformers model pretrained on a large corpus of English data from Wikipedia in a self-supervised fashion. 

config.json

@@ -1,6 +1,4 @@
 {
-  "_name_or_path": "google/tapas-base-finetuned-sqa",
-  "aggregation_labels": null,
   "aggregation_loss_weight": 1.0,
   "aggregation_temperature": 1.0,
   "allow_empty_column_selection": false,
@@ -27,7 +25,6 @@
   "max_num_rows": 64,
   "max_position_embeddings": 1024,
   "model_type": "tapas",
-  "no_aggregation_label_index": null,
   "num_aggregation_labels": 0,
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
@@ -36,7 +33,6 @@
   "reset_position_index_per_cell": true,
   "select_one_column": true,
   "softmax_temperature": 1.0,
-  "transformers_version": "4.13.0.dev0",
   "type_vocab_size": [
     3,
     256,