text-classification

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4590
• Balanced Accuracy: 0.6868

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: 5e-05
• train_batch_size: 32
• eval_batch_size: 32
• 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	Balanced Accuracy
No log	1.0	125	0.4590	0.6868
No log	2.0	250	0.5104	0.6470
No log	3.0	375	0.5941	0.6448
0.3146	4.0	500	0.5873	0.7828
0.3146	5.0	625	0.6645	0.8005
0.3146	6.0	750	0.6635	0.8110
0.3146	7.0	875	0.6684	0.7801
0.0956	8.0	1000	0.8031	0.7786
0.0956	9.0	1125	0.7523	0.7827
0.0956	10.0	1250	0.7878	0.7715

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1