Update config.json

config.json

@@ -3,49 +3,28 @@
     "AlbertForQuestionAnswering"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "do_sample": false,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
   "down_scale_factor": 1,
   "embedding_size": 128,
-  "finetuning_task": null,
+  "eos_token_id": 3,
   "gap_size": 0,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 2048,
-  "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1"
-  },
   "initializer_range": 0.02,
   "inner_group_num": 1,
   "intermediate_size": 8192,
-  "is_decoder": false,
-  "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1
-  },
   "layer_norm_eps": 1e-12,
-  "length_penalty": 1.0,
-  "max_length": 20,
   "max_position_embeddings": 512,
+  "model_type": "albert",
   "net_structure_type": 0,
   "num_attention_heads": 16,
-  "num_beams": 1,
   "num_hidden_groups": 1,
   "num_hidden_layers": 24,
-  "num_labels": 2,
   "num_memory_blocks": 0,
-  "num_return_sequences": 1,
-  "output_attentions": false,
-  "output_hidden_states": false,
   "output_past": true,
   "pad_token_id": 0,
-  "pruned_heads": {},
-  "repetition_penalty": 1.0,
-  "temperature": 1.0,
-  "top_k": 50,
-  "top_p": 1.0,
-  "torchscript": false,
   "type_vocab_size": 2,
-  "use_bfloat16": false,
   "vocab_size": 30000
-}
+}