Added model files

config.json

@@ -0,0 +1,55 @@
+{
+  "_name_or_path": "bert-base-german-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-ART",
+    "1": "I-ART",
+    "2": "B-MAT",
+    "3": "I-MAT",
+    "4": "B-PER",
+    "5": "I-PER",
+    "6": "B-SPE",
+    "7": "I-SPE",
+    "8": "B-CON",
+    "9": "I-CON",
+    "10": "B-LOC",
+    "11": "I-LOC",
+    "12": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ART": 0,
+    "B-CON": 8,
+    "B-LOC": 10,
+    "B-MAT": 2,
+    "B-PER": 4,
+    "B-SPE": 6,
+    "I-ART": 1,
+    "I-CON": 9,
+    "I-LOC": 11,
+    "I-MAT": 3,
+    "I-PER": 5,
+    "I-SPE": 7,
+    "O": 12
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.0.dev0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6588e7c3da5ff31832dbf71f6d91f600b7706b9c3c9bf8d2b6a786ca12aa04c1
+size 436447980

special_tokens_map.json

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

test_results.txt

@@ -0,0 +1,4 @@
+eval_loss = 0.2362914906080925
+eval_precision = 0.71718715876829
+eval_recall = 0.6687029118305844
+eval_f1 = 0.6920969441517386

tokenizer_config.json

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+{"cls_token": "[CLS]", "do_lower_case": false, "mask_token": "[MASK]", "model_max_length": 512, "name_or_path": "bert-base-german-cased", "pad_token": "[PAD]", "sep_token": "[SEP]", "special_tokens_map_file": null, "strip_accents": null, "tokenize_chinese_chars": true, "tokenizer_class": "BertTokenizer", "unk_token": "[UNK]", "full_tokenizer_file": "/data1/brandsena/BERT_models/HeidelBert/tokenizer.json"}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a64e3700a26f4db4705f466b776c02692acd827be53ba6e8039a8377a4d4bd12
+size 1519