Training in progress, epoch 1

README.md

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+---
+language:
+- id
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: nerugm-base-0
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nerugm-base-0
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20.0
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "indolem/indobert-base-uncased",
+  "adapters": {
+    "adapters": {},
+    "config_map": {},
+    "fusion_config_map": {},
+    "fusions": {}
+  },
+  "architectures": [
+    "BertAdapterModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
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+  "custom_heads": {},
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-LOCATION",
+    "1": "B-ORGANIZATION",
+    "2": "B-PERSON",
+    "3": "B-QUANTITY",
+    "4": "B-TIME",
+    "5": "I-LOCATION",
+    "6": "I-ORGANIZATION",
+    "7": "I-PERSON",
+    "8": "I-QUANTITY",
+    "9": "I-TIME",
+    "10": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-LOCATION": 0,
+    "B-ORGANIZATION": 1,
+    "B-PERSON": 2,
+    "B-QUANTITY": 3,
+    "B-TIME": 4,
+    "I-LOCATION": 5,
+    "I-ORGANIZATION": 6,
+    "I-PERSON": 7,
+    "I-QUANTITY": 8,
+    "I-TIME": 9,
+    "O": 10
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "prediction_heads": {
+    "default": {
+      "activation_function": "gelu",
+      "bias": true,
+      "embedding_size": 768,
+      "head_type": "masked_lm",
+      "label2id": null,
+      "layer_norm": true,
+      "layers": 2,
+      "shift_labels": false,
+      "vocab_size": 31923
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31923
+}

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special_tokens_map.json

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+  "sep_token": "[SEP]",
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+}

tokenizer_config.json

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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
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training_args.bin

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