ayame-1

This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0197
• Accuracy: 0.4981

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
0.9951	1.0	3754	0.9961	0.4849
0.9163	2.0	7508	1.0197	0.4981

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cpu
• Datasets 2.14.4
• Tokenizers 0.13.0