End of training

README.md

@@ -0,0 +1,61 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: LazarusNLP/NusaBERT-base
+tags:
+- generated_from_keras_callback
+model-index:
+- name: damand2061/pfsa-id-med-NusaBERT
+  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-NusaBERT
+
+This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1463
+- Validation Loss: 0.2312
+- Validation F1: 0.8260
+- Validation Accuracy: 0.9308
+- 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 |
+|:----------:|:---------------:|:-------------:|:-------------------:|:-----:|
+| 0.3937     | 0.2724          | 0.6512        | 0.9110              | 0     |
+| 0.2361     | 0.2354          | 0.7562        | 0.9255              | 1     |
+| 0.1954     | 0.2295          | 0.8054        | 0.9296              | 2     |
+| 0.1651     | 0.2309          | 0.8228        | 0.9303              | 3     |
+| 0.1463     | 0.2312          | 0.8260        | 0.9308              | 4     |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.17.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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+}

config.json

@@ -0,0 +1,109 @@
+{
+  "_name_or_path": "LazarusNLP/NusaBERT-base",
+  "_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": "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": {
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+    "B-DATETIME": 6,
+    "B-EVENT": 0,
+    "B-ISSUE": 18,
+    "B-LOCATION": 15,
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+    "L-LOCATION": 17,
+    "L-PERSON": 14,
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+    "U-LOCATION": 34,
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+    "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,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32032
+}

special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tf_model.h5

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