Fixed vocab size in pytorch

config.json

@@ -1,16 +1,13 @@
 {
+  "_name_or_path": "./robbert-v2-dutch-ner",
   "_num_labels": 9,
   "architectures": [
     "RobertaForTokenClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
-  "bad_words_ids": null,
   "bos_token_id": 0,
-  "decoder_start_token_id": null,
-  "do_sample": false,
-  "early_stopping": false,
+  "classifier_dropout": null,
   "eos_token_id": 2,
-  "finetuning_task": null,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -27,8 +24,6 @@
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "is_decoder": false,
-  "is_encoder_decoder": false,
   "label2id": {
     "B-LOC": 2,
     "B-MISC": 3,
@@ -41,29 +36,16 @@
     "O": 8
   },
   "layer_norm_eps": 1e-05,
-  "length_penalty": 1.0,
-  "max_length": 20,
   "max_position_embeddings": 514,
-  "min_length": 0,
   "model_type": "roberta",
-  "no_repeat_ngram_size": 0,
   "num_attention_heads": 12,
-  "num_beams": 1,
   "num_hidden_layers": 12,
-  "num_return_sequences": 1,
-  "output_attentions": false,
-  "output_hidden_states": false,
   "output_past": true,
   "pad_token_id": 1,
-  "prefix": null,
-  "pruned_heads": {},
-  "repetition_penalty": 1.0,
-  "task_specific_params": null,
-  "temperature": 1.0,
-  "top_k": 50,
-  "top_p": 1.0,
-  "torchscript": false,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0",
   "type_vocab_size": 1,
-  "use_bfloat16": false,
+  "use_cache": true,
   "vocab_size": 40000
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cae067c4236efbcbd83ea2dfdb8219b0dfdb483892575e455674cd82268651a5
-size 467081572
+oid sha256:16c1934dca9efde540d91f35669bcab52a492d1bc806cc3529afab89a2f1ab30
+size 464782065