indobert_results – AI Model by asipnana | AlphaNeural AI

You can deploy this model and start earning money today!

asipnana/
indobert_results

like

0

text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

endpoints_compatible

Views

No views yet

indobert_results

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1125
Accuracy: 0.9812
Precision: 0.9767
Recall: 0.9843
F1: 0.9805

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1422	1.0	233	0.0949	0.9749	0.9642	0.9843	0.9742
0.0303	2.0	466	0.1583	0.9686	0.9475	0.9896	0.9681
0.0118	3.0	699	0.1126	0.9812	0.9767	0.9843	0.9805
0.0008	4.0	932	0.1288	0.9799	0.9766	0.9817	0.9792
0.0023	5.0	1165	0.1305	0.9799	0.9766	0.9817	0.9792

Framework versions

Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2