metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - indonlu
metrics:
  - accuracy
  - f1
model-index:
  - name: Fine-tuned-Indonesian-Sentiment-Classifier
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: indonlu
          type: indonlu
          config: smsa
          split: validation
          args: smsa
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9317460317460318
          - name: F1
            type: f1
            value: 0.9034223843742829
language:
  - id
pipeline_tag: text-classification

Fine-tuned-Indonesian-Sentiment-Classifier

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the indonlu dataset. It achieves the following results on the evaluation set:

Loss: 0.3233
Accuracy: 0.9317
F1: 0.9034

Model description

More information needed

Intended uses & limitations

More information needed

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.08	1.0	688	0.3532	0.9310	0.9053
0.0523	2.0	1376	0.3233	0.9317	0.9034
0.045	3.0	2064	0.3949	0.9286	0.8995
0.0252	4.0	2752	0.4662	0.9310	0.9049
0.0149	5.0	3440	0.6251	0.9246	0.8899
0.0091	6.0	4128	0.6148	0.9254	0.8928
0.0111	7.0	4816	0.6259	0.9222	0.8902
0.0106	8.0	5504	0.6123	0.9238	0.8882
0.0092	9.0	6192	0.6353	0.9230	0.8928
0.0085	10.0	6880	0.6733	0.9254	0.8989
0.0062	11.0	7568	0.6666	0.9302	0.9027
0.0036	12.0	8256	0.7578	0.9230	0.8962
0.0055	13.0	8944	0.7378	0.9270	0.8947
0.0023	14.0	9632	0.7758	0.9230	0.8978
0.0009	15.0	10320	0.7051	0.9278	0.9006
0.0033	16.0	11008	0.7442	0.9214	0.8902
0.0	17.0	11696	0.7513	0.9254	0.8974
0.0	18.0	12384	0.7554	0.9270	0.8999

Although trained with 18 epochs, this model uses the best weight (Epoch 2)

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3