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Training in progress epoch 0

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  1. README.md +53 -0
  2. config.json +50 -0
  3. special_tokens_map.json +1 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +1 -0
  7. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: chanifrusydi/indobert-finetuned-ner
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # chanifrusydi/indobert-finetuned-ner
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+
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+ This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4312
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+ - Validation Loss: 0.2224
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 312, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 0.4312 | 0.2224 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - TensorFlow 2.8.0
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1
config.json ADDED
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+ {
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+ "_name_or_path": "indobenchmark/indobert-base-p1",
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+ "_num_labels": 5,
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "directionality": "bidi",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "I-PERSON",
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+ "1": "B-ORGANISATION",
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+ "2": "I-ORGANISATION",
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+ "3": "B-PLACE",
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+ "4": "I-PLACE",
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+ "5": "O",
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+ "6": "B-PERSON"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "B-ORGANISATION": "1",
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+ "B-PERSON": "6",
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+ "B-PLACE": "3",
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+ "I-ORGANISATION": "2",
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+ "I-PERSON": "0",
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+ "I-PLACE": "4",
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+ "O": "5"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.19.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 50000
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+ }
special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tf_model.h5 ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": "/root/.cache/huggingface/transformers/b515a756d9ddf12a7a391ea596c488ac805f0576790934e590ce250a3e4ff056.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "indobenchmark/indobert-base-p1", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
vocab.txt ADDED
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