bert-base-indonesian-1.5G-sentiment-analysis-smsa

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bert-base-indonesian-1.5G-finetuned-sentiment-analysis-smsa

This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the indonlu dataset. It achieves the following results on the evaluation set:

• Loss: 0.3390
• Accuracy: 0.9373

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.14.1
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3