End of training

README.md

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+---
+license: mit
+base_model: indolem/indobert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: damand2061/innermore-x-indobert-base-uncased
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# damand2061/innermore-x-indobert-base-uncased
+
+This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0031
+- Validation Loss: 0.2408
+- Train Precision: 0.7359
+- Train Recall: 0.7424
+- Train F1: 0.7391
+- Train Accuracy: 0.9530
+- Epoch: 14
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0002, 'decay_steps': 420, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.7413     | 0.3807          | 0.1975          | 0.1397       | 0.1637   | 0.8856         | 0     |
+| 0.3455     | 0.2601          | 0.4828          | 0.4891       | 0.4859   | 0.9225         | 1     |
+| 0.1874     | 0.2015          | 0.6360          | 0.6332       | 0.6346   | 0.9423         | 2     |
+| 0.0954     | 0.2067          | 0.6857          | 0.6288       | 0.6560   | 0.9433         | 3     |
+| 0.0796     | 0.1834          | 0.6573          | 0.7118       | 0.6834   | 0.9506         | 4     |
+| 0.0496     | 0.1825          | 0.7222          | 0.7380       | 0.7300   | 0.9548         | 5     |
+| 0.0267     | 0.2132          | 0.6653          | 0.7205       | 0.6918   | 0.9493         | 6     |
+| 0.0264     | 0.2229          | 0.6833          | 0.7162       | 0.6994   | 0.9502         | 7     |
+| 0.0181     | 0.1976          | 0.7404          | 0.7598       | 0.75     | 0.9548         | 8     |
+| 0.0105     | 0.2145          | 0.7203          | 0.7424       | 0.7312   | 0.9534         | 9     |
+| 0.0073     | 0.2449          | 0.7093          | 0.7031       | 0.7061   | 0.9497         | 10    |
+| 0.0058     | 0.2400          | 0.7354          | 0.7162       | 0.7257   | 0.9530         | 11    |
+| 0.0050     | 0.2388          | 0.7319          | 0.7511       | 0.7414   | 0.9534         | 12    |
+| 0.0039     | 0.2407          | 0.7371          | 0.7467       | 0.7419   | 0.9534         | 13    |
+| 0.0031     | 0.2408          | 0.7359          | 0.7424       | 0.7391   | 0.9530         | 14    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,65 @@
+{
+  "_name_or_path": "indolem/indobert-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-MVT",
+    "2": "B-GEN",
+    "3": "B-ACT",
+    "4": "B-DIR",
+    "5": "B-LOC",
+    "6": "B-CHAR",
+    "7": "B-YEAR",
+    "8": "B-STUD",
+    "9": "I-MVT",
+    "10": "I-GEN",
+    "11": "I-ACT",
+    "12": "I-DIR",
+    "13": "I-LOC",
+    "14": "I-CHAR",
+    "15": "I-YEAR",
+    "16": "I-STUD"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ACT": 3,
+    "B-CHAR": 6,
+    "B-DIR": 4,
+    "B-GEN": 2,
+    "B-LOC": 5,
+    "B-MVT": 1,
+    "B-STUD": 8,
+    "B-YEAR": 7,
+    "I-ACT": 11,
+    "I-CHAR": 14,
+    "I-DIR": 12,
+    "I-GEN": 10,
+    "I-LOC": 13,
+    "I-MVT": 9,
+    "I-STUD": 16,
+    "I-YEAR": 15,
+    "O": 0
+  },
+  "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",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31923
+}

special_tokens_map.json

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

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9eb722012b22407d31fa3270e90c47bec2de8b639613008bd55bb7a3333d89ca
+size 440208396

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}