diff --git a/config.json b/config.json
new file mode 100644
index 0000000..657ccee
--- /dev/null
+++ b/config.json
@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "/content/drive/MyDrive/Tapas/Models saved using .save_pretrained()/tapas_base_finetuned_sqa_with_reset_and_intermediate_pretraining",
+  "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": null,
+  "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": null,
+  "disable_per_token_loss": false,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "huber_loss_delta": null,
+  "init_cell_selection_weights_to_zero": false,
+  "initializer_range": 0.02,
+  "intermediate_size": 32,
+  "layer_norm_eps": 1e-12,
+  "max_num_columns": 32,
+  "max_num_rows": 64,
+  "max_position_embeddings": 32,
+  "model_type": "tapas",
+  "no_aggregation_label_index": 0,
+  "num_aggregation_labels": 0,
+  "num_attention_heads": 4,
+  "num_hidden_layers": 1,
+  "pad_token_id": 0,
+  "positive_label_weight": 10.0,
+  "reset_position_index_per_cell": true,
+  "select_one_column": true,
+  "span_prediction": "none",
+  "task": "SQA",
+  "type_vocab_sizes": [
+    3,
+    256,
+    256,
+    2,
+    256,
+    256,
+    10
+  ],
+  "use_answer_as_supervision": null,
+  "use_gumbel_for_aggregation": false,
+  "use_gumbel_for_cells": false,
+  "use_normalized_answer_loss": false,
+  "vocab_size": 32
+}
diff --git a/pytorch_model.bin b/pytorch_model.bin
new file mode 100644
index 0000000..8346c1b
Binary files /dev/null and b/pytorch_model.bin differ