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/pfsa-id-med-indobert-lem
+  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/pfsa-id-med-indobert-lem
+
+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: 0.1033
+- Validation Loss: 0.2546
+- Validation F1: 0.8649
+- Validation Accuracy: 0.9290
+- Epoch: 4
+
+## 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: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 19220, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Validation F1 | Validation Accuracy | Epoch |
+|:----------:|:---------------:|:-------------:|:-------------------:|:-----:|
+| 0.3412     | 0.2362          | 0.7881        | 0.9230              | 0     |
+| 0.2070     | 0.2131          | 0.8448        | 0.9301              | 1     |
+| 0.1615     | 0.2377          | 0.8529        | 0.9254              | 2     |
+| 0.1288     | 0.2406          | 0.8623        | 0.9285              | 3     |
+| 0.1033     | 0.2546          | 0.8649        | 0.9290              | 4     |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- TensorFlow 2.16.1
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_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": "B-EVENT",
+    "1": "I-EVENT",
+    "2": "L-EVENT",
+    "3": "B-STATEMENT",
+    "4": "I-STATEMENT",
+    "5": "L-STATEMENT",
+    "6": "B-DATETIME",
+    "7": "I-DATETIME",
+    "8": "L-DATETIME",
+    "9": "B-ROLE",
+    "10": "I-ROLE",
+    "11": "L-ROLE",
+    "12": "B-PERSON",
+    "13": "I-PERSON",
+    "14": "L-PERSON",
+    "15": "B-LOCATION",
+    "16": "I-LOCATION",
+    "17": "L-LOCATION",
+    "18": "B-ISSUE",
+    "19": "I-ISSUE",
+    "20": "L-ISSUE",
+    "21": "B-AFFILIATION",
+    "22": "I-AFFILIATION",
+    "23": "L-AFFILIATION",
+    "24": "B-PERSONCOREF",
+    "25": "I-PERSONCOREF",
+    "26": "L-PERSONCOREF",
+    "27": "U-EVENT",
+    "28": "U-AFFILIATION",
+    "29": "U-ROLE",
+    "30": "U-PERSON",
+    "31": "U-PERSONCOREF",
+    "32": "U-CUE",
+    "33": "U-CUECOREF",
+    "34": "U-LOCATION",
+    "35": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-AFFILIATION": 21,
+    "B-DATETIME": 6,
+    "B-EVENT": 0,
+    "B-ISSUE": 18,
+    "B-LOCATION": 15,
+    "B-PERSON": 12,
+    "B-PERSONCOREF": 24,
+    "B-ROLE": 9,
+    "B-STATEMENT": 3,
+    "I-AFFILIATION": 22,
+    "I-DATETIME": 7,
+    "I-EVENT": 1,
+    "I-ISSUE": 19,
+    "I-LOCATION": 16,
+    "I-PERSON": 13,
+    "I-PERSONCOREF": 25,
+    "I-ROLE": 10,
+    "I-STATEMENT": 4,
+    "L-AFFILIATION": 23,
+    "L-DATETIME": 8,
+    "L-EVENT": 2,
+    "L-ISSUE": 20,
+    "L-LOCATION": 17,
+    "L-PERSON": 14,
+    "L-PERSONCOREF": 26,
+    "L-ROLE": 11,
+    "L-STATEMENT": 5,
+    "O": 35,
+    "U-AFFILIATION": 28,
+    "U-CUE": 32,
+    "U-CUECOREF": 33,
+    "U-EVENT": 27,
+    "U-LOCATION": 34,
+    "U-PERSON": 30,
+    "U-PERSONCOREF": 31,
+    "U-ROLE": 29
+  },
+  "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": "4.44.0",
+  "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 sha256:5aec63063842337119edf42813457f76134b6bad70c2c33fca67f8d7eb58468f
+size 440266840

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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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]"
+}