trained new model with correct number of encoders

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "../models/HotelBERT-New",
+  "_name_or_path": "../models/HotelBERT",
   "architectures": [
     "RobertaForMaskedLM"
   ],
@@ -17,12 +17,12 @@
   "max_position_embeddings": 514,
   "model_type": "roberta",
   "num_attention_heads": 12,
-  "num_hidden_layers": 6,
+  "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
   "transformers_version": "4.9.2",
   "type_vocab_size": 1,
   "use_cache": true,
-  "vocab_size": 52000
+  "vocab_size": 30522
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 334060082
+oid sha256:908d42876bc1d5a3364dece0c131829a2e02e79e3dbd7d7e6f44768324c6aa86
+size 438132203

tf_model.h5

@@ -1,3 +1,3 @@
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-size 495505496
+oid sha256:bdb22cdc3d6a4dcf631dc5e9ceec7aa2423fef960616c44be668ac1af1fe053e
+size 533689592

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:c4d8f533f5dd7e10cdb9b9197a1d3f2b766a61b05b8d1c5cfee3feef4a36f65d
 size 2799