Zidan_model_output_new

This model is a fine-tuned version of indolem/indobert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7244
• Accuracy: 0.8545

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	124	0.8299	0.6364
No log	2.0	248	0.4376	0.8182
No log	3.0	372	0.4606	0.8364
No log	4.0	496	0.4147	0.8182
0.6148	5.0	620	0.3365	0.8727
0.6148	6.0	744	0.3996	0.8545
0.6148	7.0	868	0.5302	0.8364
0.6148	8.0	992	0.5224	0.8545
0.1989	9.0	1116	0.5880	0.8727
0.1989	10.0	1240	0.6525	0.8545
0.1989	11.0	1364	0.5338	0.8909
0.1989	12.0	1488	0.7244	0.8545

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1