Zidan_model_output_80_10_10_v4

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: 0.8489
• Accuracy: 0.6364

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-06
• train_batch_size: 4
• eval_batch_size: 8
• 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	220	1.0813	0.4455
No log	2.0	440	0.9994	0.5455
1.0257	3.0	660	0.9454	0.5909
1.0257	4.0	880	0.9367	0.5727
0.8472	5.0	1100	0.8955	0.6273
0.8472	6.0	1320	0.8681	0.5909
0.7389	7.0	1540	0.8720	0.6091
0.7389	8.0	1760	0.8545	0.5909
0.7389	9.0	1980	0.8494	0.6364
0.6807	10.0	2200	0.8586	0.6182
0.6807	11.0	2420	0.8595	0.6182
0.6458	12.0	2640	0.8489	0.6364

Framework versions

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