End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobert-large-p2
+tags:
+- generated_from_trainer
+model-index:
+- name: buburayam2024_p2_14_asli
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# buburayam2024_p2_14_asli
+
+This model is a fine-tuned version of [indobenchmark/indobert-large-p2](https://huggingface.co/indobenchmark/indobert-large-p2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0210
+- F1 macro: 0.3791
+- Weighted: 0.5964
+- Balanced accuracy: 0.4977
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 14
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
+| 1.1074        | 1.0   | 154  | 1.2377          | 0.3519   | 0.6293   | 0.4548            |
+| 0.7157        | 2.0   | 308  | 1.2606          | 0.3927   | 0.5965   | 0.4757            |
+| 0.348         | 3.0   | 462  | 1.7488          | 0.4201   | 0.5722   | 0.5450            |
+| 0.1433        | 4.0   | 616  | 2.1221          | 0.4589   | 0.6046   | 0.5166            |
+| 0.0748        | 5.0   | 770  | 2.4451          | 0.3833   | 0.5914   | 0.5034            |
+| 0.0016        | 6.0   | 924  | 2.8787          | 0.3869   | 0.5620   | 0.5239            |
+| 0.0004        | 7.0   | 1078 | 2.0919          | 0.4192   | 0.6759   | 0.4867            |
+| 0.0003        | 8.0   | 1232 | 2.8603          | 0.3797   | 0.5930   | 0.5068            |
+| 0.0485        | 9.0   | 1386 | 2.6217          | 0.3914   | 0.6340   | 0.4941            |
+| 0.0002        | 10.0  | 1540 | 3.1652          | 0.3623   | 0.5676   | 0.4882            |
+| 0.0002        | 11.0  | 1694 | 3.0986          | 0.3719   | 0.5822   | 0.4951            |
+| 0.0002        | 12.0  | 1848 | 3.0331          | 0.3763   | 0.5917   | 0.4968            |
+| 0.0002        | 13.0  | 2002 | 3.0254          | 0.3778   | 0.5940   | 0.4973            |
+| 0.0001        | 14.0  | 2156 | 3.0210          | 0.3791   | 0.5964   | 0.4977            |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "indobenchmark/indobert-large-p2",
+  "_num_labels": 5,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Sumber Daya Alam",
+    "1": "Politik",
+    "2": "Demografi",
+    "3": "Pertahanan dan Keamanan",
+    "4": "Ideologi",
+    "5": "Ekonomi",
+    "6": "Sosial Budaya",
+    "7": "Geografi"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

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training_args.bin

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