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@@ -10,14 +10,11 @@ datasets:
 
 # TAPAS base model fine-tuned on WikiSQL (in a supervised fashion)
 
-This model has 4 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_wikisql_sqa_inter_masklm_base_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas).
-This model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned on [SQA](https://www.microsoft.com/en-us/download/details.aspx?id=54253) and
-[WikiSQL](https://github.com/salesforce/WikiSQL). It uses relative position embeddings by default (i.e. resetting the position index at every cell of the table).
+his model has 2 versions which can be used. The default version corresponds to the `tapas_wikisql_sqa_inter_masklm_base_reset` checkpoint of the [original Github repository](https://github.com/google-research/tapas).
+This model was pre-trained on MLM and an additional step which the authors call intermediate pre-training, and then fine-tuned in a chain on [SQA](https://www.microsoft.com/en-us/download/details.aspx?id=54253), and [WikiSQL](https://github.com/salesforce/WikiSQL). It uses relative position embeddings (i.e. resetting the position index at every cell of the table).
 
-The other (non-default) versions which can be used are: 
-- `revision="v3"`, which corresponds to `tapas_wikisql_sqa_inter_masklm_base` (intermediate pre-training, absolute position     embeddings)
-- `revision="v2"`, which corresponds to `tapas_wikisql_sqa_masklm_base_reset` (no intermediate pre-training, relative position embeddings)
-- `revision="v1"`, which corresponds to `tapas_wikisql_sqa_masklm_base` (no intermediate pre-training, absolute position embeddings)
+The other (non-default) version which can be used is: 
+- `no_reset`, which corresponds to `tapas_wikisql_sqa_inter_masklm_base_reset` (intermediate pre-training, absolute position embeddings). 
 
 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.