indobert_lr3e-05_ep4 – AI Model by faidrama | AlphaNeural AI

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faidrama/
indobert_lr3e-05_ep4

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text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

endpoints_compatible

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indobert_lr3e-05_ep4

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: 0.8057
Macro F1: 0.6836

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: 3e-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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1
0.7977	1.0	659	0.5689	0.5925
0.4820	2.0	1318	0.6360	0.6236
0.3428	3.0	1977	0.6827	0.6739
0.1185	4.0	2636	0.8057	0.6836

Framework versions

Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2