Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Allah",
+    "1": "Book",
+    "2": "Clan",
+    "3": "Crime",
+    "4": "Date",
+    "5": "Day",
+    "6": "Hell",
+    "7": "Loc",
+    "8": "Meas",
+    "9": "Mon",
+    "10": "Month",
+    "11": "NatOb",
+    "12": "Number",
+    "13": "O",
+    "14": "Org",
+    "15": "Para",
+    "16": "Pers",
+    "17": "Prophet",
+    "18": "Rlig",
+    "19": "Sect",
+    "20": "Time"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "Book": 1,
+    "Clan": 2,
+    "Crime": 3,
+    "Date": 4,
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+    "Hell": 6,
+    "Loc": 7,
+    "Meas": 8,
+    "Mon": 9,
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+    "Para": 15,
+    "Pers": 16,
+    "Prophet": 17,
+    "Rlig": 18,
+    "Sect": 19,
+    "Time": 20
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "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",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

pytorch_model.bin

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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