anonimus – AI Model by rizkyramadhana26 | AlphaNeural AI

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rizkyramadhana26/
anonimus

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token-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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anonimus

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: 0.0690
Precision: 0.9161
Recall: 0.9580
F1: 0.9366
Accuracy: 0.9835

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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	Precision	Recall	F1	Accuracy
No log	1.0	92	0.2432	0.7483	0.8569	0.7989	0.9382
No log	2.0	184	0.1068	0.8356	0.9218	0.8766	0.9723
No log	3.0	276	0.0715	0.9355	0.9695	0.9522	0.9854
No log	4.0	368	0.0690	0.9337	0.9676	0.9503	0.9849
No log	5.0	460	0.0690	0.9161	0.9580	0.9366	0.9835

Framework versions

Transformers 4.54.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2