Sentiment_Sundanese_Distilbert_Full

This model is a fine-tuned version of cahya/distilbert-base-indonesian on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7006
• F1: 0.8467
• Accuracy: 0.8447

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: 0.0002
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.3209	1.0	66	0.6604	0.8030	0.8083
0.1745	2.0	132	1.0011	0.7838	0.7864
0.1045	3.0	198	0.7006	0.8467	0.8447

Framework versions

• Transformers 4.46.0
• Pytorch 2.5.0
• Datasets 3.0.2
• Tokenizers 0.20.1