indonesia-election-topic-classification-undersampling-oversampling-large-14-2

This model is a fine-tuned version of indobenchmark/indobert-large-p2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.0683
• Balanced Accuracy: 0.125

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	Balanced Accuracy
No log	1.0	208	2.0683	0.125
No log	2.0	416	2.0643	0.125
2.077	3.0	624	2.0158	0.125
2.077	4.0	832	2.0280	0.125
2.0525	5.0	1040	2.0238	0.125
2.0525	6.0	1248	2.0160	0.125
2.0525	7.0	1456	2.0188	0.125
2.0469	8.0	1664	2.0142	0.125
2.0469	9.0	1872	2.0179	0.125
2.0448	10.0	2080	2.0210	0.125
2.0448	11.0	2288	2.0089	0.125
2.0448	12.0	2496	2.0104	0.125
2.0344	13.0	2704	2.0075	0.125
2.0344	14.0	2912	2.0078	0.125

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1