End of training

README.md

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+---
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: sv1
+  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. -->
+
+# sv1
+
+This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0499
+- F1 macro: 0.3977
+- Weighted: 0.6145
+- Balanced accuracy: 0.5186
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
+| 1.2727        | 1.0   | 154  | 1.2213          | 0.3786   | 0.5827   | 0.4776            |
+| 0.8729        | 2.0   | 308  | 1.4909          | 0.3204   | 0.5293   | 0.4454            |
+| 0.3299        | 3.0   | 462  | 1.6163          | 0.3885   | 0.5956   | 0.5035            |
+| 0.2233        | 4.0   | 616  | 1.9917          | 0.3709   | 0.5977   | 0.4661            |
+| 0.1323        | 5.0   | 770  | 2.5400          | 0.3797   | 0.5718   | 0.4903            |
+| 0.0014        | 6.0   | 924  | 3.0973          | 0.3555   | 0.5244   | 0.5040            |
+| 0.0012        | 7.0   | 1078 | 2.8258          | 0.3961   | 0.6119   | 0.5142            |
+| 0.0013        | 8.0   | 1232 | 2.8277          | 0.3864   | 0.6097   | 0.5067            |
+| 0.0006        | 9.0   | 1386 | 2.9388          | 0.3911   | 0.6087   | 0.5121            |
+| 0.0006        | 10.0  | 1540 | 2.9096          | 0.4015   | 0.6235   | 0.5205            |
+| 0.0004        | 11.0  | 1694 | 3.2002          | 0.3856   | 0.5798   | 0.5138            |
+| 0.0005        | 12.0  | 1848 | 3.1226          | 0.3945   | 0.6052   | 0.5185            |
+| 0.0004        | 13.0  | 2002 | 3.0566          | 0.3968   | 0.6123   | 0.5181            |
+| 0.0004        | 14.0  | 2156 | 3.0499          | 0.3977   | 0.6145   | 0.5186            |
+
+
+### 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": "indolem/indobertweet-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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": "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": 3072,
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31923
+}

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runs/Jun19_20-33-27_80516ee61c48/events.out.tfevents.1718829214.80516ee61c48.721.21

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training_args.bin

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