metadata

license: mit
base_model: LazarusNLP/NusaBERT-base
tags:
  - generated_from_trainer
datasets:
  - indonlu
metrics:
  - f1
model-index:
  - name: NusaBERT-base-SmSA
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: indonlu
          type: indonlu
          config: smsa
          split: validation
          args: smsa
        metrics:
          - name: F1
            type: f1
            value: 0.8746

NusaBERT-base-SmSA

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

Loss: 0.2992
F1: 0.8746

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: 1e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	344	0.2119	0.895
0.3517	2.0	688	0.1745	0.9193
0.1543	3.0	1032	0.1945	0.9135
0.1543	4.0	1376	0.1901	0.9149
0.1006	5.0	1720	0.2158	0.9172
0.0652	6.0	2064	0.2796	0.9151
0.0652	7.0	2408	0.3146	0.9164

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.1