IndobertTopicClassify01

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: 0.7277
• Accuracy: 0.8175

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	200	1.2833	0.69
No log	2.0	400	0.8090	0.8
1.3814	3.0	600	0.7277	0.8175

Framework versions

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