End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-base-p1
+tags:
+- generated_from_keras_callback
+model-index:
+- name: damand2061/innermore-x-indobert-base-p1
+  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-p1
+
+This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0013
+- Validation Loss: 0.1945
+- Train Precision: 0.8199
+- Train Recall: 0.7425
+- Train F1: 0.7793
+- Train Accuracy: 0.9614
+- 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 |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.7385     | 0.3395          | 0.2826          | 0.2232       | 0.2494   | 0.9016         | 0     |
+| 0.2565     | 0.2143          | 0.6564          | 0.5494       | 0.5981   | 0.9360         | 1     |
+| 0.1188     | 0.2212          | 0.6146          | 0.5064       | 0.5553   | 0.9317         | 2     |
+| 0.0631     | 0.1887          | 0.7321          | 0.7039       | 0.7177   | 0.9524         | 3     |
+| 0.0358     | 0.1894          | 0.7210          | 0.7210       | 0.7210   | 0.9496         | 4     |
+| 0.0161     | 0.1829          | 0.8301          | 0.7339       | 0.7790   | 0.9605         | 5     |
+| 0.0092     | 0.1609          | 0.7982          | 0.7811       | 0.7896   | 0.9590         | 6     |
+| 0.0060     | 0.1885          | 0.8269          | 0.7382       | 0.7800   | 0.9619         | 7     |
+| 0.0035     | 0.1838          | 0.8261          | 0.7339       | 0.7773   | 0.9614         | 8     |
+| 0.0022     | 0.1852          | 0.8182          | 0.7339       | 0.7738   | 0.9609         | 9     |
+| 0.0026     | 0.1900          | 0.7991          | 0.7339       | 0.7651   | 0.9590         | 10    |
+| 0.0012     | 0.1923          | 0.7907          | 0.7296       | 0.7589   | 0.9595         | 11    |
+| 0.0010     | 0.1927          | 0.8199          | 0.7425       | 0.7793   | 0.9614         | 12    |
+| 0.0014     | 0.1942          | 0.8199          | 0.7425       | 0.7793   | 0.9614         | 13    |
+| 0.0013     | 0.1945          | 0.8199          | 0.7425       | 0.7793   | 0.9614         | 14    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,70 @@
+{
+  "_name_or_path": "indobenchmark/indobert-base-p1",
+  "_num_labels": 5,
+  "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": "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,
+  "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",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50000
+}

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 sha256:680ab066e72832f620d289c233c382603ddd1c25c15248ac79cd1f4fb1a96d99
+size 495728652

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "[MASK]",
+      "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]"
+}