End of training

README.md

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+---
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: damand2061/innermore-x-indobertweet-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-indobertweet-base-uncased
+
+This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0022
+- Validation Loss: 0.1782
+- Train Precision: 0.8152
+- Train Recall: 0.7350
+- Train F1: 0.7730
+- Train Accuracy: 0.9629
+- 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 |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.5919     | 0.3227          | 0.6263          | 0.2650       | 0.3724   | 0.9078         | 0     |
+| 0.2379     | 0.1878          | 0.6948          | 0.6325       | 0.6622   | 0.9434         | 1     |
+| 0.1314     | 0.1674          | 0.6711          | 0.6453       | 0.6580   | 0.9477         | 2     |
+| 0.0852     | 0.1958          | 0.6562          | 0.7179       | 0.6857   | 0.9425         | 3     |
+| 0.0506     | 0.1677          | 0.7907          | 0.7265       | 0.7572   | 0.9539         | 4     |
+| 0.0239     | 0.1493          | 0.7689          | 0.7393       | 0.7538   | 0.9615         | 5     |
+| 0.0194     | 0.1679          | 0.8102          | 0.7479       | 0.7778   | 0.9610         | 6     |
+| 0.0122     | 0.1739          | 0.7328          | 0.7265       | 0.7296   | 0.9563         | 7     |
+| 0.0084     | 0.2116          | 0.8118          | 0.6453       | 0.7190   | 0.9539         | 8     |
+| 0.0059     | 0.1724          | 0.8             | 0.7179       | 0.7568   | 0.9591         | 9     |
+| 0.0037     | 0.1744          | 0.7972          | 0.7222       | 0.7578   | 0.9601         | 10    |
+| 0.0029     | 0.1771          | 0.7981          | 0.7265       | 0.7606   | 0.9601         | 11    |
+| 0.0020     | 0.1769          | 0.8047          | 0.7393       | 0.7706   | 0.9620         | 12    |
+| 0.0020     | 0.1773          | 0.8152          | 0.7350       | 0.7730   | 0.9629         | 13    |
+| 0.0022     | 0.1782          | 0.8152          | 0.7350       | 0.7730   | 0.9629         | 14    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "indolem/indobertweet-base-uncased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_ids": 0,
+  "gradient_checkpointing": false,
+  "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 sha256:9753cd004d14680f58b1c06b5c66ebf257e324ef1a64ff6b8dfd433c03303cfa
+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,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  },
+  "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]"
+}