IndobertTypeNewsClassify01

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2379
• Accuracy: 0.9517

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: 2e-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: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	383	0.2313	0.9386
0.2452	2.0	766	0.2170	0.9504
0.1009	3.0	1149	0.2379	0.9517

Framework versions

• Transformers 4.28.0
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.13.3