Dutch_1800-2000

added_tokens.json

@@ -0,0 +1 @@
+{}

config.json

@@ -0,0 +1,31 @@
+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "finetuning_task": "ner",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_labels": 20,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "pruned_heads": {},
+  "torchscript": false,
+  "type_vocab_size": 2,
+  "vocab_size": 119547
+}

eval_results.txt

@@ -0,0 +1,15 @@
+              precision    recall  f1-score   support
+
+         DAT     0.0000    0.0000    0.0000         0
+         DOM     0.0000    0.0000    0.0000         0
+         LOC     0.8797    0.4209    0.5693       278
+        MISC     0.0000    0.0000    0.0000       423
+         ORG     0.5939    0.3111    0.4083       315
+         PER     0.7939    0.5084    0.6199       356
+         QUA     0.0000    0.0000    0.0000         0
+         REF     0.0000    0.0000    0.0000         0
+        SEP]     0.0000    0.0000    0.0000         0
+
+   micro avg     0.4526    0.2886    0.3525      1372
+   macro avg     0.2519    0.1378    0.1775      1372
+weighted avg     0.5206    0.2886    0.3700      1372

model_config.json

@@ -0,0 +1 @@
+{"bert_model": "bert-base-multilingual-cased", "do_lower": false, "max_seq_length": 180, "num_labels": 20, "label_map": {"1": "O", "2": "B-PER", "3": "I-PER", "4": "B-ORG", "5": "I-ORG", "6": "B-LOC", "7": "I-LOC", "8": "B-DAT", "9": "I-DAT", "10": "B-REF", "11": "I-REF", "12": "B-DOM", "13": "I-DOM", "14": "B-QUA", "15": "I-QUA", "16": "B-MISC", "17": "I-MISC", "18": "[CLS]", "19": "[SEP]"}}

nl2.txt

@@ -0,0 +1,34 @@
+              precision    recall  f1-score   support
+
+         DAT     0.0000    0.0000    0.0000         0
+         DOM     0.0000    0.0000    0.0000         0
+         LOC     0.8797    0.4209    0.5693       278
+        MISC     0.0000    0.0000    0.0000       423
+         ORG     0.5939    0.3111    0.4083       315
+         PER     0.7939    0.5084    0.6199       356
+         QUA     0.0000    0.0000    0.0000         0
+         REF     0.0000    0.0000    0.0000         0
+        SEP]     0.0000    0.0000    0.0000         0
+
+   micro avg     0.4526    0.2886    0.3525      1372
+   macro avg     0.2519    0.1378    0.1775      1372
+weighted avg     0.5206    0.2886    0.3700      1372
+
+01/13/2022 01:22:06 - INFO - __main__ -   ***** Eval results *****
+01/13/2022 01:22:06 - INFO - __main__ -   
+              precision    recall  f1-score   support
+
+         DAT     0.0000    0.0000    0.0000         0
+         DOM     0.0000    0.0000    0.0000         0
+         LOC     0.8797    0.4209    0.5693       278
+        MISC     0.0000    0.0000    0.0000       423
+         ORG     0.5939    0.3111    0.4083       315
+         PER     0.7939    0.5084    0.6199       356
+         QUA     0.0000    0.0000    0.0000         0
+         REF     0.0000    0.0000    0.0000         0
+        SEP]     0.0000    0.0000    0.0000         0
+
+   micro avg     0.4526    0.2886    0.3525      1372
+   macro avg     0.2519    0.1378    0.1775      1372
+weighted avg     0.5206    0.2886    0.3700      1372
+

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b7f34681a842c956740b5ad6f6c28f7d2889aaab21cc27a05da9beb7c670ed0
+size 711525557

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "max_len": 512, "init_inputs": []}