bert-base-indonesian-522M-finetuned-sentiment

This model is a fine-tuned version of cahya/bert-base-indonesian-522M on the English & Indonesian sentiment dataset. It achieves the following results on the evaluation set:

• Loss: 0.5026
• Accuracy: 0.8376
• F1: 0.8363

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4893	1.0	1185	0.4359	0.8211	0.8274
0.2842	2.0	2370	0.5026	0.8376	0.8363

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.1
• Tokenizers 0.13.3