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

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

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2864	1.0	688	0.2154	0.9286
0.1648	2.0	1376	0.2238	0.9357
0.0759	3.0	2064	0.3351	0.9365
0.044	4.0	2752	0.3390	0.9373
0.0308	5.0	3440	0.4346	0.9365
0.0113	6.0	4128	0.4708	0.9365
0.006	7.0	4816	0.5533	0.9325
0.0047	8.0	5504	0.5888	0.9310
0.0001	9.0	6192	0.5961	0.9333
0.0	10.0	6880	0.5992	0.9357

Framework versions

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